"Evolving neural networks to follow trajectories of arbitrary complexity."

Benjamin Inden, Jürgen Jost (2019)

> Home

Details and statistics

DOI: 10.1016/J.NEUNET.2019.04.013

access: closed

type: Journal Article

metadata version: 2020-05-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nn/IndenJ19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/IndenJ19
Benjamin Inden, Jürgen Jost:
Evolving neural networks to follow trajectories of arbitrary complexity. Neural Networks 116: 224-236 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.