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Bio Inspired Technologies For The Hardware Of Adaptive Systems


Bio Inspired Technologies For The Hardware Of Adaptive Systems
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Bio Inspired Technologies For The Hardware Of Adaptive Systems


Bio Inspired Technologies For The Hardware Of Adaptive Systems
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Author : Mircea Gh. Negoita
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-24

Bio Inspired Technologies For The Hardware Of Adaptive Systems written by Mircea Gh. Negoita 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 2009-03-24 with Computers categories.


Evolvable Hardware (EHW) has emerged as a sub-domain of artificial evolution represented by a design methodology (consortium of methods) involving the application of Evolutionary Algorithms (EA) to the synthesis of digital and analogue electronic circuits and systems. Nevertheless, the most benefit for the society and indeed most revolutionizing application of EA is its hardware implementation leading to the EHW. These new EA based methodologies led to a new type of machines that is evolved to attain a desired behaviour, which means they have a behavioural computational intelligence. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The book presents a careful selection of the field that very well reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. The harmonious symbiosis of the engineering approach and the accurate scientific methodology features the aspects of highly relevant and practical design principles governing the development of EHW and its connections with AS/AH. This book is both attractive and useful for everybody interested in the design and analysis of EHW in context of AS/AH and implementation of real time adaptive hardware hybrid intelligent systems.



Biologically Inspired Signal Processing For Chemical Sensing


Biologically Inspired Signal Processing For Chemical Sensing
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Author : Agustín Gutiérrez
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-11

Biologically Inspired Signal Processing For Chemical Sensing written by Agustín Gutiérrez 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 2009-05-11 with Computers categories.


Biologically inspired approaches for artificial sensing have been extensively applied to different sensory modalities over the last decades and chemical senses have been no exception. The olfactory system, and the gustatory system to a minor extent, has been regarded as a model for the development of new artificial chemical sensing s- tems. One of the main contributions to this field was done by Persaud and Dodd in 1982 when they proposed a system based on an array of broad-selective chemical sensors coupled with a pattern recognition engine. The array aimed at mimicking the sensing strategy followed by the olfactory system where a population of bro- selective olfactory receptor neurons encodes for chemical information as patterns of activity across the neuron population. The pattern recognition engine proposed was not based on bio-inspired but on statistical methods. This influential work gave rise to a new line of research where this paradigm has been used to build chemical sensing instruments applied to a wide range of odor detection problems. More recently, some researchers have proposed to extend the biological inspiration of this system also to the processing of the sensor array signals. This has been mo- vated in part by the increasing body of knowledge available on biological olfaction, which has become in the last decade a focus of attention of the experimental neu- science community.



New Advances In Intelligent Decision Technologies


New Advances In Intelligent Decision Technologies
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Author : Gloria Phillips-Wren
language : en
Publisher: Springer
Release Date : 2009-04-17

New Advances In Intelligent Decision Technologies written by Gloria Phillips-Wren and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-17 with Computers categories.


IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT’09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.



Foundations Of Computational Intelligence


Foundations Of Computational Intelligence
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Author : Ajith Abraham
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-05

Foundations Of Computational Intelligence 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 2009-05-05 with Computers categories.


Recent years have seen numerous applications across a variety of fields using various techniques of Computational Intelligence. This book, one of a series on the foundations of Computational Intelligence, is focused on learning and approximation.



Constraint Handling In Evolutionary Optimization


Constraint Handling In Evolutionary Optimization
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Author : Efrén Mezura-Montes
language : en
Publisher: Springer
Release Date : 2009-05-03

Constraint Handling In Evolutionary Optimization written by Efrén Mezura-Montes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-03 with Computers categories.


This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007. It presents recent research in constraint-handling in evolutionary optimization.



Visual Complexity And Intelligent Computer Graphics Techniques Enhancements


Visual Complexity And Intelligent Computer Graphics Techniques Enhancements
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Author : Dimitri Plemenos
language : en
Publisher: Springer
Release Date : 2009-05-06

Visual Complexity And Intelligent Computer Graphics Techniques Enhancements written by Dimitri Plemenos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-06 with Computers categories.


In this book, three main notions will be used in the editors search of improvements in various areas of computer graphics: Artificial Intelligence, Viewpoint Complexity and Human Intelligence. Several Artificial Intelligence techniques are used in presented intelligent scene modelers, mainly declarative ones. Among them, the mostly used techniques are Expert systems, Constraint Satisfaction Problem resolution and Machine-learning. The notion of viewpoint complexity, that is complexity of a scene seen from a given viewpoint, will be used in improvement proposals for a lot of computer graphics problems like scene understanding, virtual world exploration, image-based modeling and rendering, ray tracing and radiosity. Very often, viewpoint complexity is used in conjunction with Artificial Intelligence techniques like Heuristic search and Problem resolution. The notions of artificial Intelligence and Viewpoint Complexity may help to automatically resolve a big number of computer graphics problems. However, there are special situations where is required to find a particular solution for each situation. In such a case, human intelligence has to replace, or to be combined with, artificial intelligence. Such cases, and proposed solutions are also presented in this book.



Tuning Metaheuristics


Tuning Metaheuristics
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Author : Mauro Birattari
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-08

Tuning Metaheuristics written by Mauro Birattari 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 2009-04-08 with Mathematics categories.


This book lays the foundations for a scientific approach to tuning metaheuristics. The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning.



Intelligent Patient Management


Intelligent Patient Management
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Author : Sally McClean
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-20

Intelligent Patient Management written by Sally McClean 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 2009-03-20 with Business & Economics categories.


Healthcare approaches with origins in Artificial Intelligence and Operational Research can greatly improve the diagnosis, treatment and overall care of patients. This book focuses on the use of such Intelligent Patient Management for healthcare professionals.



Soft Computing For Data Mining Applications


Soft Computing For Data Mining Applications
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Author : K. R. Venugopal
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-11

Soft Computing For Data Mining Applications written by K. R. Venugopal 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 2009-03-11 with Computers categories.


The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.



Human Centric Information Processing Through Granular Modelling


Human Centric Information Processing Through Granular Modelling
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Author : Andrzej Bargiela
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-02-26

Human Centric Information Processing Through Granular Modelling written by Andrzej Bargiela 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 2009-02-26 with Mathematics categories.


Information granules and their processing permeate a way in which we perceive the world, carryout processing at the conceptual (abstract) level, and communicate our findings to the surrounding environment. The importance of information granulation becomes even more apparent when we are faced with a rapidly growing flood of data, become challenged to make decisions in complex data settings and are required to appreciate the context from which the data is derived. Human centricity of systems that claim to be “intelligent” and the granular computing come hand in hand. It is not surprising at all to witness that the paradigm of Granular Computing has started to gain visibility and continues along this path by gathering interest from the circles of academics and practitioners. It is quite remarkable that the spectrum of application and research areas that have adopted information granulation as a successful strategy for dealing with information complexity covers such diverse fields as bioinformatics, image understanding, environmental monitoring, urban sustainability, to mention few most visible in the literature. Undoubtedly, there are two important aspects of Granular Computing that are worth stressing. First, there are several formalisms in which information granules are articulated so be intervals (sets), fuzzy sets, rough sets, soft sets, approximate sets, near sets and alike. They are complementary and each of them offers some interesting views at the complexity of the world and cyberspace.