Group Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis
About this ebook
The Group Method of Data Handling (GMDH) is a series of inductive algorithms for the computer-based mathematical modeling of multi-parametric datasets that incorporates fully automatic structural and parametric optimization of models. These algorithms are used in the Group Method of Data Handling (GMDH).
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Group Method of Data Handling
Chapter 2: Supervised Learning
Chapter 3: Artificial Neural Network
Chapter 4: Machine Learning
Chapter 5: Perceptron
Chapter 6: Alexey Ivakhnenko
Chapter 7: Multilayer Perceptron
Chapter 8: Minimum Description Length
Chapter 9: Nonlinear System Identification
Chapter 10: Types of Artificial Neural Networks
(II) Answering the public top questions about group method of data handling.
(III) Real world examples for the usage of group method of data handling in many fields.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of group method of data handling.
What Is Artificial Intelligence Series
The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
