Group Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis

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.


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.

1143806882
Group Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis

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.


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.

3.99 In Stock
Group Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis

Group Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis

by Fouad Sabry
Group Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis

Group Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis

by Fouad Sabry

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Overview

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.


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.


Product Details

BN ID: 2940167596184
Publisher: One Billion Knowledgeable
Publication date: 06/21/2023
Series: Artificial Intelligence , #15
Sold by: PUBLISHDRIVE KFT
Format: eBook
Pages: 152
File size: 2 MB
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