Designed for those with no previous knowledge of neural networks, Practical Neural Network Recipes in C++ serves as cookbook for neural network solutions to practical problems. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem and to produce a working C++ program. The book provides guidance along with the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance.