All about modular optimisation of robots, teach-in, independent test set, statistics,
pattern recognition, self learning, machine learning, ID3, neural networks, genetic programing, koza,
computer vision - and how to avoid overlearning.
Suitable applications for self learning algorithms include
What makes these applications suitable for neural networks and other self learning algorithms ? How to find suitable learning samples and a truly independent test set ? What is the very best goal function ?