Computational Intelligence: Imitating LifeJacek M. Zurada, Robert Jackson Marks (II), Charles J. Robinson |
Contents
Unsupervised Learning for Feature Extraction | 8 |
Learning as Adaptive Interpolation in Neural Fuzzy Systems | 26 |
Neural Representation of Space in Rats and Robots | 52 |
Copyright | |
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Common terms and phrases
2nd-order adaptive analysis application approach approximate architecture Artificial Intelligence artificial neural networks auditory backpropagation basilar membrane behavior biological brain cells chromosome classifier clustering color combined complex component constraints context vectors control system database defined dimensional dynamic encoded environment error evaluation Evolution Strategy evolutionary programming example feature extraction Figure Fogel fullwave fuzzy control fuzzy logic fuzzy models fuzzy sets Fuzzy Systems Gaussian genetic algorithm global halfwave human IEEE implemented input interpolation knowledge layer learning algorithm learning control level learning linear mapping membership functions method module motion mutation neo fuzzy neuron neural computing Neuro-control neurons nodes nonlinear objects output parameters pattern recognition performance place cells prediction Proc relations represent representation robot scheduling selection self-organizing shown signal similar simulation solving space spatial stimulus structure supervised learning techniques technology transfer theory variables visual weights