Integration Of Swarm Intelligence And Artificial Neural Network
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Integration Of Swarm Intelligence And Artificial Neural Network
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Author : Satchidananda Dehuri
language : en
Publisher: World Scientific
Release Date : 2011
Integration Of Swarm Intelligence And Artificial Neural Network written by Satchidananda Dehuri and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
This book provides a new forum for the dissemination of knowledge in both theoretical and applied research on swarm intelligence (SI) and artificial neural network (ANN). It accelerates interaction between the two bodies of knowledge and fosters a unified development in the next generation of computational model for machine learning. To the best of our knowledge, the integration of SI and ANN is the first attempt to integrate various aspects of both the independent research area into a single volume.
Integration Of Swarm Intelligence And Artificial Neural Network
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Author : Satchidananda Dehuri
language : en
Publisher: World Scientific
Release Date : 2011-06-08
Integration Of Swarm Intelligence And Artificial Neural Network written by Satchidananda Dehuri and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-08 with Computers categories.
This book provides a new forum for the dissemination of knowledge in both theoretical and applied research on swarm intelligence (SI) and artificial neural network (ANN). It accelerates interaction between the two bodies of knowledge and fosters a unified development in the next generation of computational model for machine learning.To the best of our knowledge, the integration of SI and ANN is the first attempt to integrate various aspects of both the independent research area into a single volume.
Recent Trends In Swarm Intelligence Enabled Research For Engineering Applications
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Author : Siddhartha Bhattacharyya
language : en
Publisher: Elsevier
Release Date : 2024-07-13
Recent Trends In Swarm Intelligence Enabled Research For Engineering Applications written by Siddhartha Bhattacharyya and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-13 with Computers categories.
With the advent of data-intensive applications, the elimination of redundancy in disseminated information has become a serious challenge for researchers who are on the lookout for evolving metaheuristic algorithms which can explore and exploit the information feature space to derive the optimal settings for specific applications. Swarm intelligence algorithms have developed as one of the most widely used metaheuristic techniques for addressing this challenge in an effective way. Inspired by the behavior of a swarm of bees, these swarm intelligence techniques emulate the corresponding natural instincts to derive optimal solutions for data-intensive applications. Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications focuses on the recent and most up-to-date technologies combining other intelligent tools with swarm intelligence techniques to yield robust and failsafe solutions to real world problems. This book aims to provide audiences with a platform to learn and gain insights into the latest developments in hybrid swarm intelligence. It will be useful to researchers, engineers, developers, practitioners, and graduate students working in the major and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. - Introduces the theory underpinning hybrid swarm intelligence-enabled research as well as the leading applications across the fields of communication, networking, and information engineering - Presents a range of applications research, including signal processing, communication engineering, bioinformatics, controllers, federated learning systems, blockchain, and IoT - Includes case studies and code snippets in applications chapters
Multi Objective Swarm Intelligence
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Author : Satchidananda Dehuri
language : en
Publisher: Springer
Release Date : 2015-03-10
Multi Objective Swarm Intelligence written by Satchidananda Dehuri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-10 with Technology & Engineering categories.
The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.
Integrated Soft Computing
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Author : Dr. Jagadeesh Kumar
language : en
Publisher: Xoffencer international book publication house
Release Date : 2025-05-07
Integrated Soft Computing written by Dr. Jagadeesh Kumar and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Technology & Engineering categories.
Soft computing is a kind of computing technology that we use to develop intelligent machines. These machines have human-like problem solving capabilities. Later they offer imprecise, but useful solutions for problems that are complex and even computational. The technologies used in soft computing to address such complex problems include fuzzy logic, neural network, genetic algorithms and support vector machines. Each of these techniques contributes in a unique way while addressing the problem. Soft computing conducts the entire process in a cooperative way. Integrated Soft Computing techniques are complementary to each other instead of being competitive while solving the problem. This book offers the advantages in partnership with integrating soft computing to allow solutions for the problems that are otherwise unsolvable.
Integrating Artificial Intelligence Into The Energy Sector
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Integrating Artificial Intelligence Into The Energy Sector written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
Artificial intelligence (AI) plays a crucial role in the energy sector, equipping machines with the capability to acquire knowledge and make decisions aimed at solving problems or enhancing outcomes to achieve specific objectives. The integration of AI in the energy domain holds promise in addressing climate change, reducing emissions resulting from technological advancements in industry, maintaining energy equilibrium, and mitigating environmental impacts. The integration of AI into the energy sector proves to be indispensable in furnishing industry and households with novel information services for overseeing energy infrastructure. This includes optimizing power generation, curbing consumption, and combating climate change, among other practices that underscore the potential role of AI. Integrating Artificial Intelligence Into the Energy Sector explores the applications of AI in energy sectors, and their usage in business, home, and organizational improvement. It examines solutions for sustainability, infrastructure development, and data management. This book covers topics such as data science, electric vehicles, and cloud computing, and is a useful resource for data scientists, engineers, business owners, climatologists, academicians, and researchers.
Intelligent Multidimensional Data Clustering And Analysis
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Author : Bhattacharyya, Siddhartha
language : en
Publisher: IGI Global
Release Date : 2016-11-29
Intelligent Multidimensional Data Clustering And Analysis written by Bhattacharyya, Siddhartha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-29 with Computers categories.
Data mining analysis techniques have undergone significant developments in recent years. This has led to improved uses throughout numerous functions and applications. Intelligent Multidimensional Data Clustering and Analysis is an authoritative reference source for the latest scholarly research on the advantages and challenges presented by the use of cluster analysis techniques. Highlighting theoretical foundations, computing paradigms, and real-world applications, this book is ideally designed for researchers, practitioners, upper-level students, and professionals interested in the latest developments in cluster analysis for large data sets.
Artificial Intelligence And Integrated Intelligent Information Systems
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Author : Xuan F. Zha
language : en
Publisher: IGI Global
Release Date : 2007-01-01
Artificial Intelligence And Integrated Intelligent Information Systems written by Xuan F. Zha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-01 with Computers categories.
Researchers in the evolving fields of artificial intelligence and information systems are constantly presented with new challenges. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications provides both researchers and professionals with the latest knowledge applied to customized logic systems, agent-based approaches to modeling, and human-based models. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications presents the recent advances in multi-mobile agent systems, the product development process, fuzzy logic systems, neural networks, and ambient intelligent environments among many other innovations in this exciting field.
Recent Advances On Hybrid Approaches For Designing Intelligent Systems
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Author : Oscar Castillo
language : en
Publisher: Springer
Release Date : 2014-03-26
Recent Advances On Hybrid Approaches For Designing Intelligent Systems written by Oscar Castillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-26 with Technology & Engineering categories.
This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.
Advanced Multiresponse Process Optimisation
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Author : Tatjana V. Šibalija
language : en
Publisher: Springer
Release Date : 2015-07-25
Advanced Multiresponse Process Optimisation written by Tatjana V. Šibalija and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-25 with Technology & Engineering categories.
This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.