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Machine Intelligence and Soft Computing

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Release : 2021-01-20
Genre : Technology & Engineering
Kind : eBook
Book Rating : 16X/5 ( reviews)

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Book Synopsis Machine Intelligence and Soft Computing by : Debnath Bhattacharyya

Download or read book Machine Intelligence and Soft Computing written by Debnath Bhattacharyya. This book was released on 2021-01-20. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Machine Intelligence and Soft Computing

Download Machine Intelligence and Soft Computing PDF Online Free

Author :
Release : 2022-02-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 646/5 ( reviews)

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Book Synopsis Machine Intelligence and Soft Computing by : Debnath Bhattacharyya

Download or read book Machine Intelligence and Soft Computing written by Debnath Bhattacharyya. This book was released on 2022-02-22. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2021), organized by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India during 22 – 24 September 2021. The topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Artificial Intelligence and Soft Computing

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Release : 2018-10-08
Genre : Computers
Kind : eBook
Book Rating : 629/5 ( reviews)

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Book Synopsis Artificial Intelligence and Soft Computing by : Amit Konar

Download or read book Artificial Intelligence and Soft Computing written by Amit Konar. This book was released on 2018-10-08. Available in PDF, EPUB and Kindle. Book excerpt: With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.

Neuro-fuzzy and Soft Computing

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Release : 1997
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Neuro-fuzzy and Soft Computing by : Jyh-Shing Roger Jang

Download or read book Neuro-fuzzy and Soft Computing written by Jyh-Shing Roger Jang. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.

Advances in Soft Computing and Machine Learning in Image Processing

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Release : 2017-10-13
Genre : Technology & Engineering
Kind : eBook
Book Rating : 541/5 ( reviews)

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Book Synopsis Advances in Soft Computing and Machine Learning in Image Processing by : Aboul Ella Hassanien

Download or read book Advances in Soft Computing and Machine Learning in Image Processing written by Aboul Ella Hassanien. This book was released on 2017-10-13. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

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