Inductive Learning Algorithms for Complex Systems Modeling PDF Download

Author: H.R. Madala
Publisher: CRC Press
ISBN: 1351081942
Category : Computers
Languages : en
Pages : 381

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Book Description
Discusses algorithm development, structure, and behavior Presents comprehensive coverage of algorithms useful for complex systems modeling Includes recent studies on clusterization and recognition problems Provides listings of algorithms in FORTRAN that can be run directly on IBM-compatible PCs

Author: H.R. Madala
Publisher: CRC Press
ISBN: 1351090399
Category : Computers
Languages : en
Pages : 427

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Book Description
Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and engineering. The book features discussions of algorithm development, structure, and behavior; comprehensive coverage of all types of algorithms useful for this subject; and applications of various modeling activities (e.g., environmental systems, noise immunity, economic systems, clusterization, and neural networks). It presents recent studies on clusterization and recognition problems, and it includes listings of algorithms in FORTRAN that can be run directly on IBM-compatible PCs. Inductive Learning Algorithms for Complex Systems Modeling will be a valuable reference for graduate students, research workers, and scientists in applied mathematics, statistics, computer science, and systems science disciplines. The book will also benefit engineers and scientists from applied fields such as environmental studies, oceanographic modeling, weather forecasting, air and water pollution studies, economics, hydrology, agriculture, fisheries, and time series evaluations.

Author: Pijush Dutta
Publisher: CRC Press
ISBN: 1000864243
Category : Computers
Languages : en
Pages : 451

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Book Description
This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. Features: A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.

Author: Godfrey C Onwubolu
Publisher: Springer Science & Business Media
ISBN: 3642015298
Category : Mathematics
Languages : en
Pages : 297

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Book Description
The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.

Author: Troussov, Alexander
Publisher: IGI Global
ISBN: 1522555870
Category : Political Science
Languages : en
Pages : 380

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Book Description
Applications have transformed the collaboration environment from a mere document collection into a highly interconnected social space. These systems interoperate within a social and organizational context that drives their everyday use and provides a rich context for understanding the role of nodes that represent both people and abstract concepts. Techno-Social Systems for Modern Economical and Governmental Infrastructures provides emerging research exploring the theoretical and practical aspects of mining technological and social systems for the creation of scalable methods, systems, and applications within economic and government disciplines. Featuring coverage on a broad range of topics such as analysis models, data navigation, and empirical sociology, this book is ideally designed for professionals, researchers, executives, managers, and developers seeking current research on the interconnecting roles of technology and social space.

Author: Natalya Shakhovska
Publisher: Springer Nature
ISBN: 3030632709
Category : Technology & Engineering
Languages : en
Pages : 1190

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Book Description
This book reports on new theories and applications in the field of intelligent systems and computing. It covers cutting-edge computational and artificial intelligence methods, advances in computer vision, big data, cloud computing, and computation linguistics, as well as cyber-physical and intelligent information management systems. The respective chapters are based on selected papers presented at the workshop on intelligent systems and computing, held during the International Conference on Computer Science and Information Technologies, CSIT 2020, which was jointly organized on September 23-26, 2020, by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.

Author: Hossein G. Gilani
Publisher: CRC Press
ISBN: 1466559330
Category : Science
Languages : en
Pages : 209

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Book Description
Chemoinformatics: Advanced Control and Computational Techniques provides an important understanding of the main computational techniques used for processing chemical and biological structural data. The theoretical background to a number of techniques is introduced. General data analysis techniques and examination of the application techniques in th

Author: Satchidananda Dehuri
Publisher: World Scientific
ISBN: 184816386X
Category : Business & Economics
Languages : en
Pages : 325

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Book Description
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.

Author: Alexey Beskopylny
Publisher: Springer Nature
ISBN: 3030816192
Category : Technology & Engineering
Languages : en
Pages : 940

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Book Description
This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used in the educational process at specific agricultural universities or during vocational training at enterprises and become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.

Author: Nikolay Nikolaev
Publisher: Springer Science & Business Media
ISBN: 0387312404
Category : Computers
Languages : en
Pages : 329

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Book Description
This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The book further facilitates the discovery of polynomial models for time-series prediction.