Neural Network Modeling Using SAS Enterprise Miner

This book is designed in makingstatisticians, researchers, and programmers aware of the awesome new productnow available in SAS called Enterprise Miner. The book will also make readersget familiar with the neural network forecasting methodology in statistics. Oneof the goals to this book is making the powerful new SAS module calledEnterprise Miner easy for you to use with step-by-step instructions in creatinga Enterprise Miner process flow diagram in preparationto data-mining analysis and neural network forecast modeling. Topics discussed in this book An overview to traditional regression modeling. An overview to neural network modeling. Numerical examples of various neural network designs and optimization techniques. An overview to the powerful SAS product called Enterprise Miner. An overview to the SAS neural network modeling procedure called PROC NEURAL. Designing a SAS Enterprise Miner process flow diagram to perform neural network forecast modeling and traditional regression modeling with an explanation to the various configuration settings to the Enterprise Miner nodes used in the analysis. Comparing neural network forecast modeling estimates with traditional modeling estimates based on various examples from SAS manuals and literature with an added overview to the various modeling designs and a brief explanation to the SAS modeling procedures, option statements, and corresponding SAS output listings.

Randall Matignon has been a SAS programmer analyst for over 15 years. He received his M.S. in Statistics and a B.S. in Mathematics and Statistics from California State University, Hayward. He has worked as a consultant at various marketing research, health care and pharmaceutical companies as a statistical programmer, application developer, and data analyst.