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Towards Hybrid And Adaptive Computing


Towards Hybrid And Adaptive Computing
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Towards Hybrid And Adaptive Computing


Towards Hybrid And Adaptive Computing
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Author : Anupam Shukla
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-17

Towards Hybrid And Adaptive Computing written by Anupam Shukla and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-17 with Computers categories.


Soft Computing today is a very vast field whose extent is beyond measure. This book offers a well structured presentation of the basic concepts of Artificial Neural Networks, Fuzzy Inference Systems and Evolutionary Algorithms.



Hybrid Computational Intelligence


Hybrid Computational Intelligence
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Author : Siddhartha Bhattacharyya
language : en
Publisher: Academic Press
Release Date : 2020-03-05

Hybrid Computational Intelligence written by Siddhartha Bhattacharyya and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-05 with Computers categories.


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



Hybrid Information Systems


Hybrid Information Systems
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Author : Ajith Abraham
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-08-06

Hybrid Information Systems written by Ajith Abraham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-08-06 with Computers categories.


Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.



Hybrid Information Systems


Hybrid Information Systems
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Author : Ajith Abraham
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Hybrid Information Systems written by Ajith Abraham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.


Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.



Computationally Intelligent Hybrid Systems


Computationally Intelligent Hybrid Systems
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Author : Seppo J. Ovaska
language : en
Publisher: Wiley-IEEE Press
Release Date : 2005

Computationally Intelligent Hybrid Systems written by Seppo J. Ovaska and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


Soft computing is an emerging collection of methodologies that exploit tolerances for imprecision, uncertainty, and partial truth to achieve robustness, tractability, and low total cost.



Adaptive And Hybrid Machine Learning Approaches Utilizing General Purpose Computing On Graphical Processing Units


Adaptive And Hybrid Machine Learning Approaches Utilizing General Purpose Computing On Graphical Processing Units
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Author : Mohammed Abdelrahim
language : en
Publisher:
Release Date : 2015

Adaptive And Hybrid Machine Learning Approaches Utilizing General Purpose Computing On Graphical Processing Units written by Mohammed Abdelrahim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.


Unlike machines, humans and animals have very complex reasoning capability that allows them to adapt to changes in the naturally world, while computers tend to be very limited in that same aspect. What limits machines from becoming adaptable can span many topics, but of these attributes which would limit a machine's ability to adapt is its inability to process input not specifically designed for it. The purposes of this study is to view and work with some possible solutions which may assist with the problems that keep compute devices rather inflexible. The focus of this study will span across two particular domains. The first is the hardware architecture which determines how tasks are executed on a given machine. The second is the usage of machine learning approaches, which are classes of algorithms that rely on the nature of the input rather than a programmer's explicit instructions for decision making. The nature of the data evaluated in this work is sequential as a great variety of information found in the natural world are not discrete. This work will evaluate and contrast how one is to determine for which case would a particular architecture or a learning approach should be used to maximize the expected performance and accuracy of a system. Emphasis will be placed on the usage of Heterogeneous architecture and the usage of algorithm that is either a hybrid of multiple algorithms or adaptable in nature so that it may account for unexpected variation in the data that is likely to vary over time.



Do Smart Adaptive Systems Exist


Do Smart Adaptive Systems Exist
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Author : Bogdan Gabrys
language : en
Publisher: Springer
Release Date : 2006-07-11

Do Smart Adaptive Systems Exist written by Bogdan Gabrys and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-11 with Technology & Engineering categories.


Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence. It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions. Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.



Adaptive And Natural Computing Algorithms


Adaptive And Natural Computing Algorithms
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Author : Bernadete Ribeiro
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-03-08

Adaptive And Natural Computing Algorithms written by Bernadete Ribeiro and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-08 with Computers categories.


The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.



Hybrid Intelligent Systems


Hybrid Intelligent Systems
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Author : Oscar Castillo
language : en
Publisher: Springer
Release Date : 2007-07-23

Hybrid 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 2007-07-23 with Computers categories.


This volume offers a general view of recent conceptual developments of Soft Computing (SC). It presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods. The edited volume covers a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction.



Discrete Problems In Nature Inspired Algorithms


Discrete Problems In Nature Inspired Algorithms
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Author : Anupam Shukla
language : en
Publisher: CRC Press
Release Date : 2017-12-15

Discrete Problems In Nature Inspired Algorithms written by Anupam Shukla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Computers categories.


This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.