Applications of Artificial Neural Networks for Nonlinear Data is popular PDF and ePub book, written by Patel, Hiral Ashil in 2020-09-25, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Applications of Artificial Neural Networks for Nonlinear Data can be Read Online from any device for your convenience.

Applications of Artificial Neural Networks for Nonlinear Data Book PDF Summary

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.

Detail Book of Applications of Artificial Neural Networks for Nonlinear Data PDF

Applications of Artificial Neural Networks for Nonlinear Data
  • Author : Patel, Hiral Ashil
  • Release : 25 September 2020
  • Publisher : IGI Global
  • ISBN : 9781799840435
  • Genre : Computers
  • Total Page : 315 pages
  • Language : English
  • PDF File Size : 18,8 Mb

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