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On The Relationships Between Generative Encodings, Regularity, and Learning Abilities When Evolving Plastic Artificial Neural Networks by mandor- is a document available to read on EtoBox.
A major goal of bio-inspired artificial intelligence is to design artificial neural networks with abilities that resemble those of animal nervous systems. It is commonly believed that two keys for evolving nature-like artificial neural networks are (1) the developmental process that links genes to nervous systems, which enables the evolution of large, regular neural networks, and (2) synaptic plasticity, which allows neural networks to change during their lifetime. So far, these two topics have been
- Author
- mandor-
- Language
- EN