Neural Networks With Sas Enterprise Miner

A neural network can be defined as a set of highly interconnected elements of information processing, which are able to learn the information that feeds them. The main feature of this new technology of neural networks is that it can apply to a large number of problems that can range from complex problems to theoretical sophisticated models such as image recognition, voice recognition, financial analysis, analysis and filtering of signals, etc. In this book we will see applications of neural networks for the improvement of the techniques of classification, discrimination, prediction, etc. Successive chapters present examples that clarify the application of the models in the field of neural networks. The examples are solved step by step with SAS Enterprise Miner in order to make easier the understanding of the methodologies used.

Table of Contents

Chapter 1. Sas Enterprise Miner Working Environment
Chapter 2. Neural Networks Nodes In Sas Enterprise Miner
Chapter 3. Neural Network Models To Predict Responswe And Risk
Chapter 4. Specific Neural Networks To Predict Risk
Chapter 5. Cluster Analysis With Neural Networks
Chapter 6. Predictive Models Comparison