Heuristics: intelligent search strategies for computer problem solving
Heuristics: intelligent search strategies for computer problem solving
Simultaneous identification of linear systems: A heuristic approach
Systems & Control Letters
International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Neural computing: theory and practice
Neural computing: theory and practice
Applied Mathematics Letters
Competitive learning algorithms for vector quantization
Neural Networks
Skeletonization: a technique for trimming the fat from a network via relevance assessment
Advances in neural information processing systems 1
Comparing biases for minimal network construction with back-propagation
Advances in neural information processing systems 1
Neural network PC tools: a practical guide
Neural network PC tools: a practical guide
Algorithmic multi-objective heuristics construction in the A search
Decision Support Systems
A Problem of Dimensionality: A Simple Example
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The lack of rigorous techniques to initiate and complete in detail a neural network design renders neural network engineering to be more of an art than science. Dimensioning of neural network layers is an example of an important practical design detail typically overlooked in the neural network theoretical investigations and missed by the practitioners. We develop a computer aided neural network engineering tool based on a hybrid expert system architecture merging both knowledge-based and neurode-based components. We demonstrate our approach by mechanizing the design of counter-propagation neural network. Our automatic Kohonen layer configurator combines A* and simulated annealing search techniques to achieve both automated dimensioning and simultaneous selection of synaptic weights.