What Is Group Method of Data Handling
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.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of group method of data handling' technologies.
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.
