Artificial Intelligence And Knowledge Engineering Applications A Bioinspired Approach
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Artificial Intelligence And Knowledge Engineering Applications A Bioinspired Approach
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Author : José Mira
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-06-13
Artificial Intelligence And Knowledge Engineering Applications A Bioinspired Approach written by José Mira 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 2005-06-13 with Computers categories.
The two-volume set LNCS 3561 and LNCS 3562 constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2005, held in Las Palmas, Canary Islands, Spain in June 2005. The 118 revised papers presented are thematically divided into two volumes; the first includes all the contributions mainly related with the methodological, conceptual, formal, and experimental developments in the fields of Neurophysiology and cognitive science. The second volume collects the papers related with bioinspired programming strategies and all the contributions related with the computational solutions to engineering problems in different application domains.
Biosignal Processing And Classification Using Computational Learning And Intelligence
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Author : Alejandro A. Torres-García
language : en
Publisher: Academic Press
Release Date : 2021-09-18
Biosignal Processing And Classification Using Computational Learning And Intelligence written by Alejandro A. Torres-García and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-18 with Science categories.
Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of five relevant parts. Part One is an introduction to biosignals and Part Two describes the relevant techniques for biosignal processing, feature extraction and feature selection/dimensionality reduction. Part Three presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described in Part Four. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications and reviews in which these techniques have been successfully applied to the biosignals' domain, including EEG-based Brain-Computer Interfaces (BCI) focused on P300 and Imagined Speech, emotion recognition from voice and video, leukemia recognition, infant cry recognition, EEGbased ADHD identification among others. - Provides coverage of the fundamentals of signal processing, including sensing the heart, sending the brain, sensing human acoustic, and sensing other organs - Includes coverage biosignal pre-processing techniques such as filtering, artifiact removal, and feature extraction techniques such as Fourier transform, wavelet transform, and MFCC - Covers the latest techniques in machine learning and computational intelligence, including Supervised Learning, common classifiers, feature selection, dimensionality reduction, fuzzy logic, neural networks, Deep Learning, bio-inspired algorithms, and Hybrid Systems - Written by engineers to help engineers, computer scientists, researchers, and clinicians understand the technology and applications of computational learning to biosignal processing
Meta Heuristics Optimization Algorithms In Engineering Business Economics And Finance
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Author : Vasant, Pandian M.
language : en
Publisher: IGI Global
Release Date : 2012-09-30
Meta Heuristics Optimization Algorithms In Engineering Business Economics And Finance written by Vasant, Pandian M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-30 with Computers categories.
Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.
Mathematical Foundations Of Nature Inspired Algorithms
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Author : Xin-She Yang
language : en
Publisher: Springer
Release Date : 2019-05-08
Mathematical Foundations Of Nature Inspired Algorithms written by Xin-She Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-08 with Mathematics categories.
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms.
Innovative Computing Optimization And Its Applications
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Author : Ivan Zelinka
language : en
Publisher: Springer
Release Date : 2017-11-20
Innovative Computing Optimization And Its Applications written by Ivan Zelinka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-20 with Technology & Engineering categories.
This book presents the latest research of the field of optimization, modeling and algorithms, discussing the real-world application problems associated with new innovative methodologies. The requirements and demands of problem solving have been increasing exponentially and new computer science and engineering technologies have reduced the scope of data coverage worldwide. The recent advances in information communication technology (ICT) have contributed to reducing the gaps in the coverage of domains around the globe. The book is a valuable reference work for researchers in the fields of computer science and engineering with a particular focus on modeling, simulation and optimization as well as for postgraduates, managers, economists and decision makers
Knowledge Mining Using Intelligent Agents
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Author : Satchidananda Dehuri
language : en
Publisher: World Scientific
Release Date : 2011
Knowledge Mining Using Intelligent Agents 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 Business & Economics categories.
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.
Current Topics In Artificial Intelligence
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Author : Asociación Española de Inteligencia Artificial. Conferencia
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-22
Current Topics In Artificial Intelligence written by Asociación Española de Inteligencia Artificial. Conferencia 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 2006-09-22 with Computers categories.
This book constitutes the thoroughly referred post-proceedings of the 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, held in Santiago de Compostela, Spain in November 2005. The 48 revised full papers presented together with an invited paper were carefully selected during two rounds of reviewing and improvement from an initial total of 147 submissions. The papers span the entire spectrum of artificial intelligence from foundational and theoretical issues to advanced applications in various fields.
Engineering Applications Of Bio Inspired Artificial Neural Networks
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Author : Jose Mira
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-05-19
Engineering Applications Of Bio Inspired Artificial Neural Networks written by Jose Mira 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 1999-05-19 with Computers categories.
This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.
Self Potential Method Theoretical Modeling And Applications In Geosciences
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Author : Arkoprovo Biswas
language : en
Publisher: Springer Nature
Release Date : 2021-08-21
Self Potential Method Theoretical Modeling And Applications In Geosciences written by Arkoprovo Biswas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-21 with Science categories.
The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contamination, buried paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration.The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world. It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.
Bio Inspired Artificial Intelligence
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Author : Dario Floreano
language : en
Publisher: MIT Press
Release Date : 2008-08-22
Bio Inspired Artificial Intelligence written by Dario Floreano and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-22 with Computers categories.
A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.