V. 11:13 (535-536): Quick-Scans: NEURAL NETWORKS IN FINANCE AND INVESTING
Product Description
NEURAL NETWORKS IN FINANCE AND INVESTING
Using Artificial Intelligence to Improve Real-World Performance
Editors: Robert R. Trippi and Efraim Turban
Probus Publishing Co.
1925 N. Clybourn Street
Chicago, IL 60614
800-776-2871,312-868-1100
Published 1992,513 pages, $65.00
Neural networks are one of the most innovative analytical tools to surface in the financial arena. Editors Robert Trippi and Efraim Turban have put together a collection of recent articles from industry and academic experts dealing with the application of artificial intelligence to real-world finance and investing. This work, which begins with an introductory section on artificial neural networks, examines the application to areas including analysis of financial conditions, business failure prediction, debt-risk assessment, security market analysis and financial forecasting. Neural Networks is an excellent survey for those new to neural network applications in the finance industry. It also provides those readers familiar with neural networks or finance with a springboard into a variety of topics. Traders will be particularly interested in Neural Networks' Part 5 and Part 6, titled "Security market applications" and "Neural network approaches to financial forecasting," respectively. Although many chapters are not specifically concerned with the stock and futures markets, much of the material is relevant in a more general context. Throughout the book, the authors discuss various issues that are common across neural network applications including the selection of inputs, methods of preprocessing, choice of architecture and result interpretation.
Using Artificial Intelligence to Improve Real-World Performance
Editors: Robert R. Trippi and Efraim Turban
Probus Publishing Co.
1925 N. Clybourn Street
Chicago, IL 60614
800-776-2871,312-868-1100
Published 1992,513 pages, $65.00
Neural networks are one of the most innovative analytical tools to surface in the financial arena. Editors Robert Trippi and Efraim Turban have put together a collection of recent articles from industry and academic experts dealing with the application of artificial intelligence to real-world finance and investing. This work, which begins with an introductory section on artificial neural networks, examines the application to areas including analysis of financial conditions, business failure prediction, debt-risk assessment, security market analysis and financial forecasting. Neural Networks is an excellent survey for those new to neural network applications in the finance industry. It also provides those readers familiar with neural networks or finance with a springboard into a variety of topics. Traders will be particularly interested in Neural Networks' Part 5 and Part 6, titled "Security market applications" and "Neural network approaches to financial forecasting," respectively. Although many chapters are not specifically concerned with the stock and futures markets, much of the material is relevant in a more general context. Throughout the book, the authors discuss various issues that are common across neural network applications including the selection of inputs, methods of preprocessing, choice of architecture and result interpretation.
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