Artificial Neural Networks, 2: Proceedings of the 1992 International Conference on Artificial Neural Networks (Icann-92), Brighton, United Kingdom, 4-7 September 1992, Volume 1
This two-volume proceedings compilation is a selection of research papers presented at the ICANN-92. The scope of the volumes is interdisciplinary, ranging from the minutiae of VLSI hardware, to new discoveries in neurobiology, through to the workings of the human mind. USA and European research is well represented, including not only new thoughts from old masters but also a large number of first-time authors who are ensuring the continued development of the field.
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Models Pardigms or Methods ?
From Single Neuron to Cognition
Capturing Consciousness in Neural Systems
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1992 Elsevier Science Abstract activation adaptive Aleksander application approach approximation architecture Artificial Neural Networks associative memory B.V. All rights backpropagation binary Boltzmann machine cells classification coding connectionist connections constraints convergence corresponding defined digit distribution dynamics Elsevier Science Publishers encoding equations error example feature feedforward Figure function fuzzy generalisation given Hamming distance hidden layer hidden units IEEE implementation initial input patterns input vector iterations Kohonen Kohonen network learning algorithm learning rule linear matrix method modules Neocognitron neurons nodes noise nonlinear optical flow optimal output unit parameters perceptron performance pixels problem Proc proposed random receptive field recognition reinforcement learning representation represented rights reserved robot sample Science Publishers B.V. self-organizing Self-Organizing Map sequence shown sigmoid function signal simulation solution space sparse distributed memory speech recognition stochastic structure supervised learning synaptic task Taylor Editors theorem threshold training set trajectory update variables