Applications of Artificial Neural Networks for Nonlinear Data (Advances in Computational Intelligence and Robotics)

ISBN 10: 1799840425 / ISBN 13: 9781799840428

Published by Engineering Science Reference, 2020

Edition 2020. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, As new. Edition 2020. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # G-097-947

Synopsis:

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.

About the Authors: Hiral Ashil Patel , is an Assistant Professor in Department of Computer Science, Ganpat University, Gujarat, India. She did her Ph.D. from Ganpat University. She completed her Ph.D. under the Faculty of Computer Applications. Her research title is “Prediction Model for Financial Products”. Her research area of interest is in Machine Learning. She is Gold Medalist in Master of Computer Science and B.C.A. from Ganpat University. She has 10 years of experience in academic. Recently, she has received “Ganpat University Presidential Award of Staff Excellence" under Research - Early Career Researcher category for the year 2019. She is awarded as “Young Scientist” in May 2017 by International Science Community Association in 3rd International Young Scientist Congress. She is recipient of “Best Conceptual Paper” in GFJMR 2012. She has published research papers in well known and globally indexed journals. She has been working with Web Application Development, Mobile Application Development, Database Management System, Data Mining and Machine Learning.

A. V. Senthil Kumar is working as a Director & Professor in the Department of Research and PG in Computer Applications, Hindusthan College of Arts and Science, Coimbatore. He has finished is Doctor of Science during February 2023. He has more than 26 years of teaching experience and 5 years of Industry experience. He has to his credit 30 Book Chapters, 220 papers in International and National Journals, 55 papers in International and National Conferences, and 10 edited books and 2 text books. He is an Editor-in-Chief for various journals. Key Member for India, Machine Intelligence Research Lab (MIR Labs).He is Associate Editor of IEEE Access. He is the first person in South India to receive the highest degree in academic field D.Sc in Computer Science.

Bibliographic Details

Title: Applications of Artificial Neural Networks ...
Publisher: Engineering Science Reference
Publication Date: 2020
Binding: Hardcover
Condition: Comme neuf