Subject index to volume 7 (1995)

NEUROCOMPUTINC

ELSEVIER

Neurocomputing 7 (1995) 331

Subject index to volume 7 (1995) Adaptive learning Approximation

299 247

Backpropagation

211

Center placement Chinese character structure recoanition Classification Cognitive psychology Competitive neural networks

311 123 247 3 187

Data fitting Design factors Diffusion-concentration mechanism Discretized learning algorithm EEG Eigen-decomposition Ergodic learning algorithm Explicable learning Face recognition Feature selection Feedforward neural networks Function approximation

197,311 225 41 275 259 145 275 123 3 111 299 197,311

Geometric dilution of precision Global Positioning System

247 247

Hybrid learning

211

Image recognition Incremental learning Inductive learning Instance consistency Integrated system

159 299 61 299 123

Kohonen networks Leader clustering Learning from examples Learning vector quantizer Learning window Elsevier Science B.V.

3 211 61 259 275

Multilayer perceptron

3, 85, 111, 211

N-bit encoder Network synthesis Neural nets Neural network design Neural networks Noise models

85 197,311 61 225 145,247,259 29

Orthogonal array based experiments

225

Plasticity Polynomial Prediction Probability slice Programmable neural network

299 85 259 275 123

Radial basis function networks Radial basis functions Recurrent neural networks Robust neural network Rough sets

187 197,311 29 225 61

Saliency Self-organisation Self-organizing feature map Separating figures from background Signal processing Signal-to-noise ratios Stochastic estimator Stochastic neural networks Supervised learning Symbolic knowledge

111 3 211 41 145 225 275 187 159 123

Taguchi method Temporal sequences

225 29

Unsupervised learning

159

Variance analysis Vector quantization

225 187

Winner-take-all

85