Download e-book for iPad: Analysis and Applications of Artificial Neural Networks by L. P. J. Veelenturf

By L. P. J. Veelenturf

ISBN-10: 013489832X

ISBN-13: 9780134898322

Thorough, compact, and self-contained, this rationalization and research of a wide variety of neural nets is very easily dependent in order that readers can first achieve a brief worldwide figuring out of neural nets -- without the math -- and will then delve into mathematical specifics as helpful. The habit of neural nets is first defined from an intuitive viewpoint; the formal research is then awarded; and the sensible implications of the formal research are acknowledged individually. Analyzes the habit of the six major different types of neural networks -- The Binary Perceptron, the continual Perceptron (Multi-Layer Perceptron), The Bidirectional thoughts, The Hopfield community (Associative Neural Nets), The Self-Organizing Neural community of Kohonen, and the recent Time Sequentional Neural community. For technically-oriented members operating with info retrieval, development acceptance, speech attractiveness, sign processing, info class.

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Com/ xLminer-data-mining and foLLow the instructions there. Installation CLose any ExceL windows, then run the XLMiner setup program. DiaLog boxes wiLL guide you through the instaLlation procedure. The finaL diaLog box gives you an option to start ExceL and open a "Getting Started" workbook. You'll also find XLMiner options under Start > All Programs > Frontline Systems. 3. By choosing the appropriate menu item, you can run any of XLMiner's procedures on the dataset that is open in your ExceL worksheet.

Similarly, Dan Toy and John Elder IV greeted our proj ect with enthusiasm and provided detailed and useful comments on earlier drafts. Boaz Shmueli and Raquelle Azran gave detailed editorial comments and suggestions on the first two editions; Bruce McCullough and Adam Hughes did the same for the first edition. Noa Shmueli provided careful proofs of the third edition. Ravi Bapna, who used an early draft in a data mining course at the Indian School of Business, has provided invaluable comments and helpful suggestions since the book's start.

In direct-response advertising (whether by traditional mail, email or web advertising), we may encounter only one or two responders for every hundred records-the value offmding such a customer far outweighs the costs of reaching him or her. In trying to identifY fraudulent transactions, or customers unlikely to repay debt, the costs of failing to fmd the fraud or the nonpaying customer are likely to exceed the cost of more detailed review of a legitimate transaction or customer. If the costs of fulling to locate responders are comparable to the costs of misidenti£Y:ing responders as nonresponders, our models would usually achieve highest overall accuracy if they identified everyone (or almost everyone, if it is easy to identifY a few responders without catching many nonresponders) as a nonresponder.

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Analysis and Applications of Artificial Neural Networks by L. P. J. Veelenturf


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