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Titlebook: Bio-Mimetic Approaches in Management Science; Jacques-Marie Aurifeille (Director of the GREGEOI) Book 1998 Springer Science+Business Media

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A Statistical Methodology for Specifying Neural Network Models: Application to the Identification ormance of neural networks to that of statistical models. The question addressed in most studies is “are neural networks better than statistical techniques ?”, and the published results appear to be both encouraging and discouraging (e.g. Furness 1995, Ripley 1994).
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Complexity Control and Generalization in Multilayer Perceptrons,bility. Several formal and heuristic methods have been proposed in the literature for improving the performances of NNs. It is of major importance for the user to understand which cf these methods are of practical use and which are the more efficient. We will try here to fill the gap between special
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A Bio-Mimetic Clusterwise Regression Algorithm for Consumer Segmentation, by optimizing clusters’ predictivity under constraints of homogeneity and differentiation. The algorithm is a hybrid of genetic algorithm (GA) and of learning vector quantization (LVQ). GA is used for optimizing predictivity under constraints of cluster homogeneity. Specific LVQ rules are implement
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