Neural Network Modeling Using SAS Enterprise Miner Review

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(More customer reviews)This book gives an introduction in how to implement neural networks using SAS Enterprise Miner, and is written for those who already have a basic understanding of them. Neural networks are straightforward to understand from a mathematical standpoint but their use in real applications can be awkward, especially if they are required to work in out-of-sample contexts. Enterprise Miner will not alleviate these difficulties, but it does offer a more straightforward way to build the neural network architectures, due to its menu-driven approach. The book is somewhat out-of-date, since it is written for those readers who are using Enterprise Miner 4.3, but most of the book is still relevant for those who are now using SAS Enterprise Miner 5.2. The latter is JAVA-based, and has some additional capabilities that one cannot find in Miner 4.3. Readers who will not be using the new features in Miner 5.2 will therefore find the book useful. The author also discusses some of the foundational aspects of neural networks, and how they compare with other methods for doing prediction and classification. Of course if one has access to Enterprise Miner 5.2, the accompanying documentation will lessen the need for this book.

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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.

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