Fuzzy model validation using the local statistical approach
Fuzzy Sets and Systems
Prediction of street tree morphological parameters using artificial neural networks
Computers and Electronics in Agriculture
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An algorithm is developed for training feedforward neural networks that uses singular value decomposition (SVD) to identify and eliminate redundant hidden nodes. Minimizing redundancy gives smaller networks, producing models that generalize better and thus eliminate the need of using cross-validation to avoid overfitting. The method is demonstrated by modeling a chemical reactor