Feedforward Neural Network Methodology
Emmanuel J. Candès, Terrence L. Fine · Journal of the American Statistical Association · 2000
From the Publisher: This monograph provides a through and coherent introduction to the mathematical properties of feedforward neural networks and to the computationally intensive methodology that has enabled their highly successful application to complex problems of pattern classification, forecasting, regression, and nonlinear systems modeling.