Hybrid Intelligent Techniques For Pattern Analysis And Understanding
Download Hybrid Intelligent Techniques For Pattern Analysis And Understanding PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Hybrid Intelligent Techniques For Pattern Analysis And Understanding book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Hybrid Intelligent Techniques for Pattern Analysis and Understanding
Author: Siddhartha Bhattacharyya
language: en
Publisher: CRC Press
Release Date: 2017-10-30
Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.
Hybrid Intelligent Techniques for Pattern Analysis and Understanding
Author: Siddhartha Bhattacharyya
language: en
Publisher: Chapman & Hall/CRC
Release Date: 2017-10-30
Hybrid Intelligent Techniques for Pattern Analysis and Understandingoutlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.
Hybrid Computational Intelligence
Author: Siddhartha Bhattacharyya
language: en
Publisher: Academic Press
Release Date: 2020-03-05
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