When are k-nearest neighbor and back propagation accurate for feasible sized sets of examples? -- Complexity theory of neural networks and classification problems -- Generalization performance of overtrained back-propagation networks -- Stability of the random neural network model -- Temporal pattern recognition using EBPS -- Markovian spatial properties of a random field describing a stochastic neural network: Sequential or parallel implementation? -- Chaos in neural networks -- The "moving targets" training algorithm -- Acceleration techniques for the backpropagation algorithm -- Rule-injection hints as a means of improving network performance and learning time -- Inversion in time -- Cellular neural networks: Dynamic properties and adaptive learning algorithm -- Improved simulated annealing, Boltzmann machine, and attributed graph matching -- Artificial dendritic learning -- A neural net model of human short-term memory development -- Large vocabulary speech recognition using neural-fuzzy and concept networks -- Speech feature extraction using neural networks -- Neural network based continuous speech recognition by combining self organizing feature maps and Hidden Markov Modeling -- Ultra-small implementation of a neural halftoning technique -- Application of self-organising networks to signal processing -- A study of neural network applications to signal processing -- Simulation machine and integrated implementation of neural networks -- VLSI implementation of an associative memory based on distributed storage of information.