| Applications of Artificial Neural Networks for Nonlinear Data Contributor(s): Patel, Hiral Ashil (Editor), Kumar, A. V. Senthil (Editor) |
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ISBN: 1799840425 ISBN-13: 9781799840428 Publisher: Engineering Science Reference OUR PRICE: $256.50 Product Type: Hardcover - Other Formats Published: September 2020 |
| Additional Information |
| BISAC Categories: - Computers | Neural Networks - Computers | Intelligence (ai) & Semantics - Computers | Machine Theory |
| Dewey: 001.420 |
| LCCN: 2019059548 |
| Physical Information: 0.81" H x 7" W x 10" (1.79 lbs) 300 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems. |