Computational Intelligence In Pattern Recognition

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Computational Intelligence in Pattern Recognition

Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumen Kumar Pati,Danilo Pelusi
Computational Intelligence in Pattern Recognition Book PDF

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumen Kumar Pati,Danilo Pelusi
Publisher : Springer
Page : 1046 pages
File Size : 41,5 Mb
Release : 2019-08-17
Category : Technology & Engineering
ISBN : 9789811390425

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumen Kumar Pati,Danilo Pelusi Pdf

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Computational Intelligence for Pattern Recognition

Witold Pedrycz,Shyi-Ming Chen
Computational Intelligence for Pattern Recognition Book PDF

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 428 pages
File Size : 42,9 Mb
Release : 2018-04-30
Category : Technology & Engineering
ISBN : 9783319896298

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Computational Intelligence for Pattern Recognition by Witold Pedrycz,Shyi-Ming Chen Pdf

The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.

Computational Intelligence in Pattern Recognition

Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,S. Vimal,Danilo Pelusi
Computational Intelligence in Pattern Recognition Book PDF

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,S. Vimal,Danilo Pelusi
Publisher : Springer Nature
Page : 748 pages
File Size : 44,5 Mb
Release : 2023-10-02
Category : Technology & Engineering
ISBN : 9789819937349

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,S. Vimal,Danilo Pelusi Pdf

This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27–28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Computational Intelligence in Pattern Recognition

Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi
Computational Intelligence in Pattern Recognition Book PDF

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi
Publisher : Springer Nature
Page : 756 pages
File Size : 46,8 Mb
Release : 2021-09-04
Category : Technology & Engineering
ISBN : 9789811625435

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi Pdf

This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Pattern Recognition and Computational Intelligence Techniques Using Matlab

E. S. Gopi
Pattern Recognition and Computational Intelligence Techniques Using Matlab Book PDF

Author : E. S. Gopi
Publisher : Springer Nature
Page : 256 pages
File Size : 42,5 Mb
Release : 2019-10-17
Category : Technology & Engineering
ISBN : 9783030222734

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Pattern Recognition and Computational Intelligence Techniques Using Matlab by E. S. Gopi Pdf

This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques. Presents pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly; Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.

Computational Intelligence in Pattern Recognition

Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi
Computational Intelligence in Pattern Recognition Book PDF

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi
Publisher : Springer Nature
Page : 593 pages
File Size : 45,9 Mb
Release : 2020-02-19
Category : Technology & Engineering
ISBN : 9789811524493

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi Pdf

This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Supervised and Unsupervised Pattern Recognition

Evangelia Miche Tzanakou
Supervised and Unsupervised Pattern Recognition Book PDF

Author : Evangelia Miche Tzanakou
Publisher : CRC Press
Page : 441 pages
File Size : 52,5 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781351835558

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Supervised and Unsupervised Pattern Recognition by Evangelia Miche Tzanakou Pdf

There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images. This substantial collection of recent research begins with an introduction to Neural Networks, classifiers, and feature extraction methods. It then addresses unsupervised and fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures-including modular design-and their applications to medicine and three-dimensional NN architecture simulating brain functions. The final section discusses general applications and simulations, such as the establishment of a brain-computer link, speaker identification, and face recognition. In the quickly changing field of computational intelligence, every discovery is significant. Supervised and Unsupervised Pattern Recognition gives you access to many notable findings in one convenient volume.

Advances In Pattern Recognition And Artificial Intelligence

Marleah Blom,Nicola Nobile,Ching Yee Suen
Advances In Pattern Recognition And Artificial Intelligence Book PDF

Author : Marleah Blom,Nicola Nobile,Ching Yee Suen
Publisher : World Scientific
Page : 277 pages
File Size : 46,8 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9789811239021

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Advances In Pattern Recognition And Artificial Intelligence by Marleah Blom,Nicola Nobile,Ching Yee Suen Pdf

This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.

Supervised and Unsupervised Pattern Recognition

Evangelia Miche Tzanakou
Supervised and Unsupervised Pattern Recognition Book PDF

Author : Evangelia Miche Tzanakou
Publisher : CRC Press
Page : 392 pages
File Size : 40,8 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781420049770

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Supervised and Unsupervised Pattern Recognition by Evangelia Miche Tzanakou Pdf

There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images. This substantial collection of recent research begins with an introduction to Neural Networks, classifiers, and feature extraction methods. It then addresses unsupervised and fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures-including modular design-and their applications to medicine and three-dimensional NN architecture simulating brain functions. The final section discusses general applications and simulations, such as the establishment of a brain-computer link, speaker identification, and face recognition. In the quickly changing field of computational intelligence, every discovery is significant. Supervised and Unsupervised Pattern Recognition gives you access to many notable findings in one convenient volume.

Hybrid Computational Intelligence

Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
Hybrid Computational Intelligence Book PDF

Author : Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
Publisher : Academic Press
Page : 250 pages
File Size : 55,5 Mb
Release : 2020-03-05
Category : Computers
ISBN : 9780128187005

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Hybrid Computational Intelligence by Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna Pdf

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Computational Intelligence for Human Action Recognition

Sourav De,Paramartha Dutta
Computational Intelligence for Human Action Recognition Book PDF

Author : Sourav De,Paramartha Dutta
Publisher : CRC Press
Page : 147 pages
File Size : 43,8 Mb
Release : 2020-09-27
Category : Computers
ISBN : 9780429591938

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Computational Intelligence for Human Action Recognition by Sourav De,Paramartha Dutta Pdf

Human Action Recognition is a challenging area presently. The vigor of research effort directed towards this domain is self indicative of this. With the ever-increasing involvement of Computational Intelligence in our day to day applications, the necessity of human activity recognition has been able to make its presence felt to the concerned research community. The primary drive of such an effort is to equip the computing system capable of recognizing and interpreting human activities from posture, pose, gesture, facial expression etc. The intent of human activity recognition is a formidable component of cognitive science in which researchers are actively engaged of late. Features: A systematic overview of the state-of-the-art in computational intelligence techniques for human action recognition. Emphasized on different intelligent techniques to recognize different human actions. Discussed about the automation techniques to handle human action recognition. Recent research results and some pointers to future advancements in this arena. In the present endeavour the editors intend to come out with a compilation that reflects the concerns of relevant research community. The readers would be able to come across some of the latest findings of active researchers of the concerned field. It is anticipated that this treatise shall be useful to the readership encompassing students at undergraduate and postgraduate level, researchers active as well as aspiring, not to speak of the senior researchers.

Computational Intelligence

Amit Konar
Computational Intelligence Book PDF

Author : Amit Konar
Publisher : Springer Science & Business Media
Page : 708 pages
File Size : 41,8 Mb
Release : 2006-01-16
Category : Technology & Engineering
ISBN : 9783540273356

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Computational Intelligence by Amit Konar Pdf

Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own.

Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques

Begg, Rezaul
Computational Intelligence for Movement Sciences Neural Networks and Other Emerging Techniques Book PDF

Author : Begg, Rezaul
Publisher : IGI Global
Page : 396 pages
File Size : 41,9 Mb
Release : 2006-02-28
Category : Computers
ISBN : 9781591408383

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Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques by Begg, Rezaul Pdf

"This book provides information regarding state-of-the-art research outcomes and cutting-edge technology on various aspects of the human movement"--Provided by publisher.

Progress in Artificial Intelligence and Pattern Recognition

Yanio Hernández Heredia,Vladimir Milián Núñez,José Ruiz Shulcloper
Progress in Artificial Intelligence and Pattern Recognition Book PDF

Author : Yanio Hernández Heredia,Vladimir Milián Núñez,José Ruiz Shulcloper
Publisher : Springer Nature
Page : 490 pages
File Size : 55,7 Mb
Release : 2024-01-20
Category : Computers
ISBN : 9783031495526

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Progress in Artificial Intelligence and Pattern Recognition by Yanio Hernández Heredia,Vladimir Milián Núñez,José Ruiz Shulcloper Pdf

This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.

Innovative Trends in Computational Intelligence

Ravi Tomar,Manolo Dulva Hina,Rafik Zitouni,Amar Ramdane-Cherif
Innovative Trends in Computational Intelligence Book PDF

Author : Ravi Tomar,Manolo Dulva Hina,Rafik Zitouni,Amar Ramdane-Cherif
Publisher : Springer Nature
Page : 295 pages
File Size : 41,5 Mb
Release : 2021-11-29
Category : Technology & Engineering
ISBN : 9783030782849

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Innovative Trends in Computational Intelligence by Ravi Tomar,Manolo Dulva Hina,Rafik Zitouni,Amar Ramdane-Cherif Pdf

This book addresses the key problems that computational intelligence aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies.