Neural Networks: Advances and Applications II
Erol Gelenbe · Elsevier eBooks · 1991
Learning in the Recurrent Random Neural Network (E. Gelenbe). Generalization Performance of Feed-Forward Neural Networks (S. Shekhar et al.). The Nature of Intracortical Inhibitory Effects (J.A. Reggia et al.). Random Neural Networks with Multiple Classes of Signals (J.-M. Fourneau, E. Gelenbe). The MicroCircuit Associative Memory, muAM: A Biologically Motivated Memory Architecture (C.F. Miles, D. Rogers). Generalised Associative Memory and the Computation of Membership Functions (E. Gelenbe). Layered Neural Network for Stereo Disparity Detection (E. Maeda et al.). Storage and Recognition Methods for the Random Neural Network (M. Mokhtari). Neural Networks for Image Compression (S. Carrato). Autoassociative Memory with the Random Neural Network using Gelenbe's Learning Algorithm (C. Hubert). Minimum Graph Covering with the Random Neural Network Model (E. Gelenbe, F. Batty).