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Description
Delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of Polynomial Neural Network models (PNN) from data. This work emphasizes an organized identification process by which to discover models that generalize and predict well.
Delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of Polynomial Neural Network models (PNN) from data. This work emphasizes an organized identification process by which to discover models that generalize and predict well.
Reviews