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ORCID1st ICNC 2005: Changsha, China
- Lipo Wang, Ke Chen
, Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3610, Springer 2005, ISBN 3-540-28323-4
Neural Network Learning Algorithms
- Min Huang, Baotong Cui:
A Novel Learning Algorithm for Wavelet Neural Networks. 1-7 - Ye Zhang, Yiqiang Wu, Wenquan Zhang, Yi Zheng:
Using Unscented Kalman Filter for Training the Minimal Resource Allocation Neural Network. 8-14 - Daqi Zhu, Min Kong, YonQing Yang:
The Improved CMAC Model and Learning Result Analysis. 15-24 - Hui-Zhong Yang, Xin-Guang Shao, Feng Ding:
A New Smooth Support Vector Regression Based on epsilon-Insensitive Logistic Loss Function. 25-32 - Mozhiwen, Feng Jun, Qiu Yazhu, Shu Lan:
Neural Network Classifier Based on the Features of Multi-lead ECG. 33-43 - Xiaolong Deng, Jianying Xie, Weizhong Guo, Jun Liu:
A New Learning Algorithm for Diagonal Recurrent Neural Network. 44-50 - Xiangjun Wen, Xiaoming Xu, Yunze Cai:
Study of On-line Weighted Least Squares Support Vector Machines. 51-60 - Huaguang Zhang, Zhanshan Wang:
Globally Exponential Stability Analysis and Estimation of the Exponential Convergence Rate for Neural Networks with Multiple Time Varying Delays. 61-70 - Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence. 71-80 - Qiang Lv, Jinshou Yu:
Fuzzy Self-Organizing Map Neural Network Using Kernel PCA and the Application. 81-90 - Chunkai Zhang, Hong Hu:
An Evolved Recurrent Neural Network and Its Application. 91-100 - Jian Xiao, Zongtan Zhou, Dewen Hu, Junsong Yin, Shuang Chen:
Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction. 101-109 - Bülent Bolat, Tülay Yildirim:
Active Learning for Probabilistic Neural Networks. 110-118 - Hongkai Ding, Yunshi Xiao, Jiguang Yue:
Adaptive Training of Radial Basis Function Networks Using Particle Swarm Optimization Algorithm. 119-128 - Joseph P. Herbert, Jingtao Yao:
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps. 129-138 - Weijin Jiang, Yusheng Xu, Yuhui Xu:
A Novel Intrusions Detection Method Based on HMM Embedded Neural Network. 139-148 - Yong Liu:
Generate Different Neural Networks by Negative Correlation Learning. 149-156 - Songyot Sureerattanan, Nidapan Sureerattanan:
New Training Method and Optimal Structure of Backpropagation Networks. 157-166 - Dingsheng Luo, Xinhao Wang, Xihong Wu, Huisheng Chi:
Learning Outliers to Refine a Corpus for Chinese Webpage Categorization. 167-178 - Zheng Rong Yang, Natasha Young:
Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. 179-186 - Xiaoguang He, Jie Tian, Xin Yang:
A New Learning Algorithm Based on Lever Principle. 187-198 - Lianxi Yuan, Enfang Sang, Wenwu Wang, Jonathon A. Chambers:
An Effective Method to Improve Convergence for Sequential Blind Source Separation. 199-208 - Guiyu Feng, Dewen Hu, Ming Li, Zongtan Zhou:
A Novel LDA Approach for High-Dimensional Data. 209-212 - Bo Yang, Yadong Wang, Xiaohong Su:
Research and Design of Distributed Neural Networks with Chip Training Algorithm. 213-216 - Zhixia Yang, Nong Wang, Ling Jing:
Support Vector Regression with Smoothing Property. 217-220 - Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiuling Xu:
A Fast SMO Training Algorithm for Support Vector Regression. 221-224 - Xiyang Yang, Fusheng Yu:
Rival Penalized Fuzzy Competitive Learning Algorithm. 225-228 - Min Shi, Shengli Xie:
A New Predictive Vector Quantization Method Using a Smaller Codebook. 229-236 - Kwang-Baek Kim, Dong-Un Lee, Kwee-Bo Sim:
Performance Improvement of Fuzzy RBF Networks. 237-244
Neural Network Architectures
- Tianping Chen:
Universal Approach to Study Delayed Dynamical Systems. 245-253 - Jie Liu, Junan Lu:
Long-Range Connections Based Small-World Network and Its Synchronizability. 254-263 - Shoujue Wang, Chen Xu, Hong Qin, Weijun Li, Bian Yi:
Double Synaptic Weight Neuron Theory and Its Application. 264-272 - Huidang Zhang, Yuyao He:
Comparative Study of Chaotic Neural Networks with Different Models of Chaotic Noise. 273-282 - Michiharu Maeda, Masaya Suenaga, Hiromi Miyajima:
A Learning Model in Qubit Neuron According to Quantum Circuit. 283-292 - Jing Li, Bao-Liang Lu, Michinori Ichikawa:
An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function. 293-302 - Hai Zhao, Bao-Liang Lu:
A General Procedure for Combining Binary Classifiers and Its Performance Analysis. 303-312 - Naohiro Fukumura, Keitaro Wakaki, Yoji Uno:
A Modular Structure of Auto-encoder for the Integration of Different Kinds of Information. 313-321 - Jian Yang, Siwei Luo:
Adaptive and Competitive Committee Machine Architecture. 322-331 - Xuhua Yang, Yunbing Wei, Qiu Guan, Wanliang Wang, Shengyong Chen:
An ART2/RBF Hybrid Neural Networks Research. 332-335 - Jiuzhen Liang, Jianmin Han:
Complex Number Procedure Neural Networks. 336-339 - Chaojun Dong, Zhiyong Liu, Zulian Qiu:
Urban Traffic Signal Timing Optimization Based on Multi-layer Chaos Neural Networks Involving Feedback. 340-344 - Weijin Jiang, Yusheng Xu, Yuhui Xu:
Research on a Direct Adaptive Neural Network Control Method of Nonlinear Systems. 345-352 - Emin Germen:
Improving the Resultant Quality of Kohonen's Self Organizing Map Using Stiffness Factor. 353-357 - Xieping Gao, Jun Zhang:
A Novel Orthonormal Wavelet Network for Function Learning. 358-363 - Pei-Chann Chang, Yen-Wen Wang, Chen-Hao Liu:
Fuzzy Back-Propagation Network for PCB Sales Forecasting. 364-373 - Min Zhao, Xiang-Guan Liu, Shi-Hua Luo:
An Evolutionary Artificial Neural Networks Approach for BF Hot Metal Silicon Content Prediction. 374-377 - Guang Li, Zhengguo Lou, Le Wang, Xu Li, Walter J. Freeman:
Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions. 378-381 - Lean Yu, Kin Keung Lai, Shouyang Wang:
Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture. 382-385 - Li Xie:
Stochastic Robust Stability Analysis for Markovian Jump Neural Networks with Time Delay. 386-389
Neurodynamics
- Wuyin Jin, Qian Lin, Yaobing Wei, Ying Wu:
Observation of Crises and Bifurcations in the Hodgkin-Huxley Neuron Model. 390-396 - Guoyou Li, Huiguang Li, Min Dong, Changping Sun, Tihua Wu:
An Application of Pattern Recognition Based on Optimized RBF-DDA Neural Networks. 397-404 - Qiang Zhang, Dongsheng Zhou, Haijun Wang, Xiaopeng Wei:
Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays. 405-410 - Jun Liu, Zhengguo Lou, Guang Li:
Effect of Noises on Two-Layer Hodgkin-Huxley Neuronal Network. 411-419 - Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm. 420-428 - Biswa Sengupta:
Modeling of Short-Term Synaptic Plasticity Using Dynamic Synapses. 429-438 - Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi:
A Chaotic Model of Hippocampus-Neocortex. 439-448 - Wentao Huang, Licheng Jiao, Yuelei Xu, Maoguo Gong:
Stochastic Neuron Model with Dynamic Synapses and Evolution Equation of Its Density Function. 449-455 - Hesham H. Amin, Robert H. Fujii:
Learning Algorithm for Spiking Neural Networks. 456-465 - Xiaoping Xue:
Exponential Convergence of Delayed Neural Networks. 466-469 - Xisheng Shen, Shiji Song, Lixin Cheng:
A Neural Network for Constrained Saddle Point Problems: An Approximation Approach. 470-475 - Zhijie Wang, Hong Fan:
Implementing Fuzzy Reasoning by IAF Neurons. 476-479 - Shi-min Wang, Qishao Lu, Ying Du:
A Method for Quantifying Temporal and Spatial Patterns of Spike Trains. 480-489 - Rubin Wang, Wei Yu:
A Stochastic Nonlinear Evolution Model and Dynamic Neural Coding on Spontaneous Behavior of Large-Scale Neuronal Population. 490-498 - Hong Zhang, Luping Fang, Qinye Tong:
Study on Circle Maps Mechanism of Neural Spikes Sequence. 499-507 - Ying Wu, Jianxue Xu, Mi He:
Synchronous Behaviors of Hindmarsh-Rose Neurons with Chemical Coupling. 508-511
Statistical Neural Network Models and Support Vector Machines
- Changha Hwang, Jooyong Shim:
A Simple Quantile Regression via Support Vector Machine. 512-520 - Jooyong Shim, Changha Hwang:
Doubly Regularized Kernel Regression with Heteroscedastic Censored Data. 521-527 - Yuangui Li, Zhonghui Hu, Yunze Cai, Weidong Zhang:
Support Vector Based Prototype Selection Method for Nearest Neighbor Rules. 528-535 - Changha Hwang, Kyung Ha Seok, Daehyeon Cho:
A Prediction Interval Estimation Method for KMSE. 536-545 - Wensen An, Yanguang Sun:
An Information-Geometrical Approach to Constructing Kernel in Support Vector Regression Machines. 546-553 - Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Training Data Selection for Support Vector Machines. 554-564 - Hui-Hua Yang, Xing-Yu Wang, Yong Wang, Hai-Hua Gao:
Model Selection for Regularized Least-Squares Classification. 565-572 - Zheng Xiang, Taiyi Zhang, Jiancheng Sun:
Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Reconstructed Embedding Phase Space. 573-581 - Xiangjun Wen, Xiaoming Xu, Yunze Cai:
Least-Squares Wavelet Kernel Method for Regression Estimation. 582-591 - Shengwu Xiong, Hongbing Liu, Xiaoxiao Niu:
Fuzzy Support Vector Machines Based on lambda-Cut. 592-600 - Yanfei Zhu, Lianfang Tian, Zongyuan Mao, Wei Li:
Mixtures of Kernels for SVM Modeling. 601-607 - Fangfang Wu, Yinliang Zhao, Zefei Jiang:
A Novel Parallel Reduced Support Vector Machine. 608-618 - Wei-Chiang Hong, Ping-Feng Pai, Chen-Tung Chen, Ping-Teng Chang:
Recurrent Support Vector Machines in Reliability Prediction. 619-629 - Hengping Zhao, Jinshou Yu:
A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE. 630-639 - Erhu Zhang, Jiwen Lu, Ganglong Duan:
Gait Recognition via Independent Component Analysis Based on Support Vector Machine and Neural Network. 640-649 - Guangli Liu, Ruizhi Sun, Wanlin Gao:
Uncertainty Support Vector Method for Ordinal Regression. 650-654 - Zhengxing Sun, Lisha Zhang, Enyi Tang:
An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition. 655-659 - Benyong Liu, Jing Zhang:
Eigenspectra Versus Eigenfaces: Classification with a Kernel-Based Nonlinear Representor. 660-663 - Zhigang Zeng, Chaojin Fu:
Blind Extraction of Singularly Mixed Source Signals. 664-667 - Wei-Chiang Hong, Ping-Feng Pai, Yuying Huang, Shun-Lin Yang:
Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance. 668-674 - Guiyu Feng, Dewen Hu, Ming Li, Zongtan Zhou:
Palmprint Recognition Based on Unsupervised Subspace Analysis. 675-678 - Feng Du, Wenkang Shi, Huawei Guo, Liangzhou Chen:
A New Alpha Seeding Method for Support Vector Machine Training. 679-682 - Gaoming Huang, Luxi Yang, Zhenya He:
Multiple Acoustic Sources Location Based on Blind Source Separation. 683-687 - Zhejing Bao, Daoying Pi, Youxian Sun:
Short-Term Load Forecasting Based on Self-organizing Map and Support Vector Machine. 688-691 - Lukui Shi, Qing Wu, Xueqin Shen, Pilian He:
A Multi-class Classifying Algorithm Based on Nonlinear Dimensionality Reduction and Support Vector Machines. 692-695 - Yi-Bo Zhang, Chunjie Yang, Daoying Pi, Youxian Sun:
A VSC Scheme for Linear MIMO Systems Based on SVM. 696-699 - Gang Wang, Xin Xu, Dewen Hu:
Global Convergence of FastICA: Theoretical Analysis and Practical Considerations. 700-705 - Weimin Zhong, Daoying Pi, Youxian Sun:
SVM Based Nonparametric Model Identification and Dynamic Model Control. 706-709 - Shuzhong Yang, Siwei Luo:
Learning SVM Kernel with Semi-definite Programming. 710-715 - Hui Wang, Daoying Pi, Youxian Sun:
Weighted On-line SVM Regression Algorithm and Its Application. 716-719
Other Topics in Neural Network Models
- Zhengxue Li, Wei Wu, Guorui Feng, Huifang Lu:
Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs. 720-729 - Jinhua Xu, Daniel W. C. Ho:
A Constructive Algorithm for Wavelet Neural Networks. 730-739 - Yi Shen, Guoying Zhao, Minghui Jiang, Shigeng Hu:
Stochastic High-Order Hopfield Neural Networks. 740-749 - Yan Liu, Bojan Cukic, Michael Jiang, Zhiwei Xu:
Predicting with Confidence - An Improved Dynamic Cell Structure. 750-759 - Woong Myung Kim, Hyon-Soo Lee:
An Efficient Score Function Generation Algorithm with Information Maximization. 760-768 - Fei Hao, Long Wang, Tianguang Chu:
A New Criterion on Exponential Stability of a Class of Discrete Cellular Neural Networks with Time Delay. 769-772 - Shuang Cong, Guodong Li, Yisong Zheng:
A Novel Local Connection Neural Network. 773-777 - Álvaro Herrero, Emilio Corchado, José Manuel Sáiz:
An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending. 778-782 - Jun Zhang, Xieping Gao, Chunhong Cao, Fen Xiao:
A Fast Nonseparable Wavelet Neural Network for Function Approximation. 783-788 - Keongho Hong, Eunhwa Jeong:
A Visual Cortex Domain Model for Illusory Contour Figures. 789-792
Cognitive Science
- Rui Nian, Guangrong Ji, Wencang Zhao, Chen Feng:
ANN Ensemble Online Learning Strategy in 3D Object Cognition and Recognition Based on Similarity. 793-796 - Sung-il Kim, Sung-Hyun Yun, Dong-Seong Choi, Mi-sun Yoon, Yeon-hee So, Myung-Jin Lee, Won-Sik Kim, Sun Young Lee, Su-Young Hwang, Cheon-woo Han, Woo-Gul Lee, Karam Lim:
Design and Implementation of the Individualized Intelligent Teachable Agent. 797-805 - Tao Zhang, Xiaojun Tang, Zhuo Yang:
Comparison of Complexity and Regularity of ERP Recordings Between Single and Dual Tasks Using Sample Entropy Algorithm. 806-810 - Mayumi Oyama-Higa, Tiejun Miao:
Representation of a Physio-psychological Index Through Constellation Graphs. 811-817 - Sun Kook Yoo, Chung Ki Lee, Youn Jung Park, Nam H. Kim, Byung Chae Lee, Kee Sam Jeong:
Neural Network Based Emotion Estimation Using Heart Rate Variability and Skin Resistance. 818-824 - Xinyu Zhao, Zuoquan Lin:
Modeling Belief, Capability and Promise for Cognitive Agents - A Modal Logic Approach. 825-834 - Zhan Ding, Sanyuan Zhang, Wei Peng, Xiuzi Ye, Huaqiang Hu:
PENCIL: A Framework for Expressing Free-Hand Sketching in 3D. 835-838 - Zhi-Heng Zhou, Sheng-Li Xie:
Blocking Artifacts Measurement Based on the Human Visual System. 839-843 - Hyungwook Yim, Heuiseok Lim, Kinam Park, Kichun Nam:
A Computation Model of Korean Lexical Processing. 844-849 - Jong-Hye Han, Wonil Choi, Yongmin Chang, Ok-Ran Jeong, Kichun Nam:
Neuroanatomical Analysis for Onomatopoeia and Phainomime Words: fMRI Study. 850-854 - Kang-Woo Lee:
Cooperative Aspects of Selective Attention. 855-866 - Qi Zou, Siwei Luo, Jianyu Li:
Selective Attention Guided Perceptual Grouping Model. 867-876 - Predrag Neskovic, Leon N. Cooper:
Visual Search for Object Features. 877-887 - Devinder Thapa, In-Sung Jung, Gi-Nam Wang:
Agent Based Decision Support System Using Reinforcement Learning Under Emergency Circumstances. 888-892 - Tomas Maul, Sapiyan Baba, Azwina M. Yusof:
Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation. 893-902 - Qingyong Li, Dacheng Lin, Zhongzhi Shi:
Task-Oriented Sparse Coding Model for Pattern Classification. 903-914 - Weihong Deng, Jiani Hu, Jun Guo:
Robust Face Recognition from One Training Sample per Person. 915-924 - Yuntao Zhang, Ling Gong, Yongcheng Wang:
Chinese Word Sense Disambiguation Using HowNet. 925-932 - Toshihiko Matsuka:
Modeling Human Learning as Context Dependent Knowledge Utility Optimization. 933-946 - Yanmin Chen, Xiaolong Wang, Yi Guan:
Automatic Text Summarization Based on Lexical Chains. 947-951 - Hong Yuan, Hong Li, Zhijie Zhang, Jiang Qiu:
A General fMRI Linear Convolution Model Based Dynamic Characteristic. 952-955
Neuroscience Informatics, Bioinformatics, and Bio-medical Engineering
- Yan Dang, Yulei Zhang, Dongmo Zhang, Liping Zhao:
A KNN-Based Learning Method for Biology Species Categorization. 956-964 - Hye-Sung Yoon, Sang-Ho Lee, Ju Han Kim:
Application of Emerging Patterns for Multi-source Bio-Data Classification and Analysis. 965-974 - Li Shen, Eng Chong Tan:
Nonlinear Kernel MSE Methods for Cancer Classification. 975-984 - Chunhong Jiang, Guangda Su:
Fusing Face and Fingerprint for Identity Authentication by SVM. 985-994 - Wei Li, Xuefeng Zhu:
A New Algorithm of Multi-modality Medical Image Fusion Based on Pulse-Coupled Neural Networks. 995-1001 - Yeun-Jin Cho, Hyeoncheol Kim:
Cleavage Site Analysis Using Rule Extraction from Neural Networks. 1002-1008 - Yeon-Jin Cho, Hyeoncheol Kim, Heung-Bum Oh:
Prediction Rule Generation of MHC Class I Binding Peptides Using ANN and GA. 1009-1016 - Ha-Nam Nguyen, Syng-Yup Ohn, Jaehyun Park, Kyu-Sik Park:
Combined Kernel Function Approach in SVM for Diagnosis of Cancer. 1017-1026 - Kyung-Sik Seo, Hyung-Bum Kim, Taesu Park, Pan-Koo Kim, Jong-An Park:
Automatic Liver Segmentation of Contrast Enhanced CT Images Based on Histogram Processing. 1027-1030 - Xiao-mei Pei, Jin Xu, Chongxun Zheng, Guang-yu Bin:
An Improved Adaptive RBF Network for Classification of Left and Right Hand Motor Imagery Tasks. 1031-1034 - Wenlu Yang, Xiongjun Pi, Liqing Zhang:
Similarity Analysis of DNA Sequences Based on the Relative Entropy. 1035-1038 - Hai Hu, S. B. Somiari, J. Copper, R. D. Everly, Caroline Heckman, Rick Jordan, R. Somiari, Jeffrey Hooke, Craig D. Shriver, Michael N. Liebman:
Can Circulating Matrix Metalloproteinases Be Predictors of Breast Cancer? A Neural Network Modeling Study. 1039-1042 - Xiongjun Pi, Wenlu Yang, Liqing Zhang:
Blind Clustering of DNA Fragments Based on Kullback-Leibler Divergence. 1043-1046 - Nana Li, Xiao-hui Niu, Feng Shi, Xue-yan Li:
Prediction of Protein Subcellular Locations Using Support Vector Machines. 1047-1051 - Guang Li, Jing Zhang, Faji Gu, Ling Yin, Yiyuan Tang, Xiaowei Tang:
Neuroinformatics Research in China- Current Status and Future Research Activities. 1052-1056 - Gary F. Egan, Wei Liu, Wee Siong Soh, Du Thanh Hang:
Australian Neuroinformatics Research - Grid Computing and e-Research. 1057-1064 - Wieslaw Lucjan Nowinski:
Current Status and Future Research Activities in Clinical Neuroinformatics: Singaporean Perspective. 1065-1073 - Shiro Usui:
Japanese Neuroinformatics Research: Current Status and Future Research Program of J-Node. 1074-1079
Neural Network Applications: Communications and Computer Networks
- Haixiang Shi, Lipo Wang:
Optimal TDMA Frame Scheduling in Broadcasting Packet Radio Networks Using a Gradual Noisy Chaotic Neural Network. 1080-1089 - Yu Zhao, Hongsheng Xi, Zilei Wang:
A Fast Online SVM Algorithm for Variable-Step CDMA Power Control. 1090-1099 - Soowhan Han, Kwangeui Lee, Jongkeuk Lee, Fredric M. Ham:
Fourth-Order Cumulants and Neural Network Approach for Robust Blind Channel Equalization. 1100-1112 - Dong-Chul Park, Duc-Hoai Nguyen, Sang Jeen Hong, Yunsik Lee:
Equalization of a Wireless ATM Channel with Simplified Complex Bilinear Recurrent Neural Network. 1113-1116 - Tieming Chen, Jiamei Cai:
A Novel Remote User Authentication Scheme Using Interacting Neural Network. 1117-1120 - Xu Li:
Genetic Algorithm Simulated Annealing Based Clustering Strategy in MANET. 1121-1131
Neural Network Applications: Expert System and Informatics
- Jianpei Zhang, Zhong-Wei Li, Jing Yang, Yuan Li:
A Gradual Training Algorithm of Incremental Support Vector Machine Learning. 1132-1139 - Shasha Liao, Minghu Jiang:
An Improved Method of Feature Selection Based on Concept Attributes in Text Classification. 1140-1149 - Xiao-Ke Yan, Hai-Dong Yang, He-Jun Wang, Fei-Qi Deng:
Research on the Decision Method for Enterprise Information Investment Based on IA-BP Network. 1150-1159 - Hyeon Bae, Sungshin Kim, Kwang Bang Woo:
Process Control and Management of Etching Process Using Data Mining with Quality Indexes. 1160-1169 - JeongYon Shim:
Automatic Knowledge Configuration by Reticular Activating System. 1170-1178 - Jeong-Hoon Shin, Kwang-Seok Hong:
An Improved Information Retrieval Method and Input Device Using Gloves for Wearable Computers. 1179-1184 - Jonghwa Choi, Dongkyoo Shin, Dongil Shin:
Research on Design and Implementation of the Artificial Intelligence Agent for Smart Home Based on Support Vector Machine. 1185-1188 - Liang Zhao, Antonio P. G. Damiance, André Carlos Ponce de Leon Ferreira de Carvalho:
A Self-organized Network for Data Clustering. 1189-1198 - Qingyun Wang, Qishao Lu, Haixia Wang:
A General Criterion of Synchronization Stability in Ensembles of Coupled Systems and Its Application. 1199-1208 - Xiaogang Jin, Weihong Wang:
Complexity of Linear Cellular Automata over Zm. 1209-1213
Neural Network Applications: Financial Engineering
- Serge Hayward:
Applications of Genetic Algorithm for Artificial Neural Network Model Discovery and Performance Surface Optimization in Finance. 1214-1223 - Liang-Bin Lai, Ray-I Chang, Jen-Shiang Kouh:
Mining Data by Query-Based Error-Propagation. 1224-1233 - Marek Hlavácek, Josef Cada, Frantisek Hakl:
The Application of Structured Feedforward Neural Networks to the Modelling of the Daily Series of Currency in Circulation. 1234-1246 - Hyun-jung Kim, Kyung-shik Shin, Kyungdo Park:
Time Delay Neural Networks and Genetic Algorithms for Detecting Temporal Patterns in Stock Markets. 1247-1255 - Chen Feng, Guangrong Ji, Wencang Zhao, Rui Nian:
The Prediction of the Financial Time Series Based on Correlation Dimension. 1256-1265 - Dong-Chul Park:
Gradient-Based FCM and a Neural Network for Clustering of Incomplete Data. 1266-1269 - Sehun Lim:
Toward Global Optimization of ANN Supported by Instance Selection for Financial Forecasting. 1270-1274 - Danilo Mattos Bonfim, Leandro Nunes de Castro:
FranksTree: A Genetic Programming Approach to Evolve Derived Bracketed L-Systems. 1275-1278 - Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
Data Clustering with a Neuro-immune Network. 1279-1288
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