Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Algorithmes Genetiques Et Reseaux De Neurones full books in PDF, epub, and Kindle. Read online Algorithmes Genetiques Et Reseaux De Neurones ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Jean-Michel Renders
Publisher : Hermes Science Publications
ISBN 13 : 9782866014674
Total Pages : 334 pages
Book Rating : 4.0/5 (146 download)
Download or read book Algorithmes génétiques et réseaux de neurones written by Jean-Michel Renders and published by Hermes Science Publications. This book was released on 1994 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : FREDERIC.. GRUAU
Publisher :
ISBN 13 :
Total Pages : 175 pages
Book Rating : 4.:/5 (49 download)
Download or read book SYNTHESE DE RESEAUX DE NEURONES PAR CODAGE CELLULAIRE ET ALGORITHMES GENETIQUES written by FREDERIC.. GRUAU and published by . This book was released on 1994 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTREFOIS CONSIDERES COMME UNE MACHINE VOUEE A UN APPRENTISSAGE REALISE A L'AIDE DE PETITES MODIFICATIONS SUCCESSIVES DE PARAMETRES, LES RESEAUX DE NEURONES ARTIFICIELS SONT EN TRAIN DE CHANGER DE STATUT. DE TELLES METHODES D'APPRENTISSAGE NE PERMETTENT PAS EN EFFET DE GENERER DE GROS RESEAUX NECESSAIRE A LA RESOLUTION DE PROBLEMES CONSEQUENTS. CETTE THESE SOUTIENT LES TROIS POINTS DE VUE SUIVANT: 1) LE MOT CLE POUR SORTIR DE L'IMPASSE EST MODULARITE. 2) L'OUTIL CLE POUR GENERER DES RESEAUX DE NEURONES MODULAIRES EST LE CODAGE CELLULAIRE. 3) LA METHODE D'OPTIMISATION CLE POUR EXPLORER L'ESPACE DE RECHERCHE DES CODES CELLULAIRES EST L'ALGORITHME GENETIQUE. LE PREMIER POINT EST UNE IDEE A PRESENT REPANDUE. PAR RESEAUX DE NEURONES MODULAIRES, ON ENTEND UN RESEAU DE NEURONES SE DECOMPOSANT EN SOUS-RESEAUX, D'UNE FACON HIERARCHIQUE, AVEC DES SOUS-RESEAUX QUI PEUVENT SE REPETER. CETTE THESE SE DECOMPOSE EN DEUX PARTIES. LA PREMIERE PARTIE DEMONTRE LE DEUXIEME POINT. LE CODAGE CELLULAIRE EST PRESENTE COMME UN VERITABLE LANGAGE MACHINE DE RESEAUX DE NEURONES, AVEC DES FONDEMENTS THEORIQUES (C'EST EN FAIT UNE GRAMMAIRE DE GRAPHE, VERIFIANT UN CERTAIN NOMBRE DE PROPRIETES) ET UN COMPILATEUR DE LANGAGE EVOLUE. LA DEUXIEME PARTIE DEMONTRE LE TROISIEME POINT. L'APPLICATION DES ALGORITHMES GENETIQUES A LA SYNTHESE DE RESEAUX DE NEURONES EN UTILISANT LE CODAGE CELLULAIRE EST UNE NOUVELLE TECHNOLOGIE. CETTE TECHNOLOGIE PERMET DE RESOUDRE DES PROBLEMES ENCORE JAMAIS RESOLUS. ELLE PEUT AUTOMATIQUEMENT ET DYNAMIQUEMENT DECOMPOSER UN PROBLEME EN UNE HIERARCHIE DE SOUS-PROBLEMES, ET GENERER UN RESEAU DE NEURONES DONT LA STRUCTURE HIERARCHIQUE DE SOUS-RESEAUX REFLETE CELLE DU PROBLEME. ELLE PERMET D'EXPERIMENTER DES DOMAINES DE RECHERCHE ENCORE VIERGES COMME PAR EXEMPLE, L'INTERACTION ENTRE APPRENTISSAGE GENETIQUE ET APPRENTISSAGE DE POIDS OU LA MISE AU POINT D'APPRENTISSAGES CONNECTIONNISTES ADAPTES A L'ALGORITHME GENETIQUE
Author : Alain Hugget
Publisher :
ISBN 13 :
Total Pages : 253 pages
Book Rating : 4.:/5 (49 download)
Download or read book Réseaux de neurones et algorithmes génétiques written by Alain Hugget and published by . This book was released on 1998 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'OPTIMISATION DE SECHOIRS NECESSITE DEUX TYPES D'OUTILS POUR, DANS UN PREMIER TEMPS, REPRESENTER EFFICACEMENT LE COMPORTEMENT DU SYSTEME ET, PAR LA SUITE, OPTIMISER SIMULTANEMENT SA STRUCTURE, SES DIMENSIONS ET SES PARAMETRES DE FONCTIONNEMENT. DANS CETTE THESE, UNE NOUVELLE APPROCHE GLOBALE D'OPTIMISATION EST DEVELOPPEE. LES RESEAUX DE NEURONES ARTIFICIELS Y SONT UTILISES POUR REPRESENTER EFFICACEMENT LES PHENOMENES PHYSIQUES APPARAISSANT LORS DU SECHAGE ET LES ALGORITHMES GENETIQUES PERMETTENT D'OPTIMISER DIFFERENTS PROBLEMES. L'APPROCHE EST VALIDEE SUR DEUX EXEMPLES DE SECHOIRS INDUSTRIELS CONVECTIFS. LES APPLICATIONS DEVELOPPEES DANS CETTE THESE SORTENT DU CHAMP DE COMPETENCES CLASSIQUE DES RESEAUX DE NEURONES EN PERMETTANT LA REPRESENTATION DES RESULTATS FOURNIS PAR UN MODELE DE SECHAGE MATHEMATIQUE. POUR UNE MEME PRECISION, LES RN OFFRENT AINSI LA POSSIBILITE DE DIMINUER LES TEMPS DE SIMULATIONS DANS DES RAPPORTS VARIANT DE 100 A 1000 PAR RAPPORT A DES APPROCHES PLUS CLASSIQUES (DIFFERENCES FINIES, METHODE PRE-INTEGREE). PAR AILLEURS, IL DEVIENT POSSIBLE DE CONTROLER LE NIVEAU DE CONNAISSANCES SUR LE PROCESSUS OU SUR LE PRODUIT A TRAITER PENDANT LA CONSTITUTION DE LA REPRESENTATION NEURONALE. ENFIN, L'APPLICATION SIMULTANEE DE LA REPRESENTATION NEURONALE ET DE LA RECHERCHE PAR ALGORITHME GENETIQUE NOUS A PERMIS DE MENER UNE APPROCHE D'OPTIMISATION GLOBALE MULTI-CRITERES SUR DES INSTALLATIONS DE SECHAGE. L'APPLICATION FINALE UTILISE LES CAPACITES DE CHACUN DE CES OUTILS AFIN DE DETERMINER LES PARAMETRES DE CONCEPTION ET DE CONDUITE DES BENEFICE). CETTE APPROCHE PERMET AUSSI D'ABOUTIR A DES SOLUTIONS TECHNOLOGIQUES ADAPTEES AUX CONTRAINTES IMPOSEES PAR L'ENVIRONEMENT INDUSTRIEL. DE PLUS, LA GLOBALITE DU PROBLEME TRAITE NOUS PERMET DE NOUS AFFRANCHIR DE LA DEMARCHE LINEAIRE ET REDUCTRICE GENERALEMENT UTILISEE PENDANT LA PHASE DE CONCEPTION D'UN SYSTEME : LES SOLUTIONS OBTENUS SONT PAR CE FAIT PLUS RICHE ET PLU REPRESENTATIVES. LES OUTILS ET LA DEMARCHE DEVELOPPES DANS CE TRAVAIL SE TOURNENT RESOLEMENT VERS UNE APPROCHE DE C. A. O. (CONCEPTION ASSISTEE PAR ORDINATEUR) UTILISABLE POUR ETUDIER DE NOMBREUX SYSTEMES INDUSTRIELS COMPLEXES.
Author : Frédéric Gruau
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (494 download)
Download or read book Synthese de reseaux de neurones par codage cellulaire et algorithmes genetiques written by Frédéric Gruau and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jean-Louis Amat
Publisher : Editions Cépaduès
ISBN 13 : 9782854283662
Total Pages : 197 pages
Book Rating : 4.2/5 (836 download)
Download or read book Techniques avancées pour le traitement de l'information written by Jean-Louis Amat and published by Editions Cépaduès. This book was released on 1996 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Andrej Dobnikar
Publisher : Springer Science & Business Media
ISBN 13 : 3709163846
Total Pages : 365 pages
Book Rating : 4.7/5 (91 download)
Download or read book Artificial Neural Nets and Genetic Algorithms written by Andrej Dobnikar and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the contents: Neural networks – theory and applications: NNs (= neural networks) classifier on continuous data domains– quantum associative memory – a new class of neuron-like discrete filters to image processing – modular NNs for improving generalisation properties – presynaptic inhibition modelling for image processing application – NN recognition system for a curvature primal sketch – NN based nonlinear temporal-spatial noise rejection system – relaxation rate for improving Hopfield network – Oja's NN and influence of the learning gain on its dynamics Genetic algorithms – theory and applications: transposition: a biological-inspired mechanism to use with GAs (= genetic algorithms) – GA for decision tree induction – optimising decision classifications using GAs – scheduling tasks with intertask communication onto multiprocessors by GAs – design of robust networks with GA – effect of degenerate coding on GAs – multiple traffic signal control using a GA – evolving musical harmonisation – niched-penalty approach for constraint handling in GAs – GA with dynamic population size – GA with dynamic niche clustering for multimodal function optimisation Soft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading – evolutionary programming of near optimal NNs
Author : George D. Smith
Publisher : Springer Science & Business Media
ISBN 13 : 3709164923
Total Pages : 654 pages
Book Rating : 4.7/5 (91 download)
Download or read book Artificial Neural Nets and Genetic Algorithms written by George D. Smith and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the third in a series of conferences devoted primarily to the theory and applications of artificial neural networks and genetic algorithms. The first such event was held in Innsbruck, Austria, in April 1993, the second in Ales, France, in April 1995. We are pleased to host the 1997 event in the mediaeval city of Norwich, England, and to carryon the fine tradition set by its predecessors of providing a relaxed and stimulating environment for both established and emerging researchers working in these and other, related fields. This series of conferences is unique in recognising the relation between the two main themes of artificial neural networks and genetic algorithms, each having its origin in a natural process fundamental to life on earth, and each now well established as a paradigm fundamental to continuing technological development through the solution of complex, industrial, commercial and financial problems. This is well illustrated in this volume by the numerous applications of both paradigms to new and challenging problems. The third key theme of the series, therefore, is the integration of both technologies, either through the use of the genetic algorithm to construct the most effective network architecture for the problem in hand, or, more recently, the use of neural networks as approximate fitness functions for a genetic algorithm searching for good solutions in an 'incomplete' solution space, i.e. one for which the fitness is not easily established for every possible solution instance.
Author : Arturo Sangalli
Publisher : PUM
ISBN 13 : 2760618013
Total Pages : 210 pages
Book Rating : 4.7/5 (66 download)
Download or read book Éloge du flou written by Arturo Sangalli and published by PUM. This book was released on 2001 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'auteur montre, avec une aisance fascinante, comment les réseaux de neurones, les algorithmes génétiques et la logique floue sont en train de changer la façon de faire la science et de comprendre le monde. Un livre difficile à surpasser. John L. Casti, Santa Fe Institute Quiconque veut savoir quelles seront les grandes orientations du monde de l'informatique d'ici trente ans, sinon à plus courte échéance, doit lire cet ouvrage tout à fait fascinant. Doron Zeibelger, Temple University Cet ouvrage présente, d'une manière abordable pour quiconque a fréquenté l'université et suivi un cours de mathématiques, plusieurs sujets jusqu'à maintenant inaccessibles à un public cultivé. Gian-Carlo Rota, auteur de Indiscrete Thoughts Combinant les points de vue philosophique et scientifique, cet ouvrage explore les nouvelles avenues sur lesquelles s'engage la science informatique. S'appuyant sur la description de nombreux cas, il présente les principes des trois grandes techniques de calcul mises en œuvre dans un domaine où sont impliquées à la fois les mathématiques, l'informatique et l'intelligence artificielle : • les réseaux de neurones : assemblages d'unités de calcul simples pouvant acquérir des connaissances à la manière du cerveau, par l'exemple ou par la pratique ; • les algorithmes génétiques : ensembles de processus imitant les phénomènes biologiques de l'évolution, dans lesquels le hasard joue un rôle prépondérant ; • la logique floue : méthode mathématique qui permet de transmettre aux machines la souplesse du langage et du raisonnement humains pour traiter des données imprécises.
Author : David W. Pearson
Publisher : Springer Science & Business Media
ISBN 13 : 3709175356
Total Pages : 542 pages
Book Rating : 4.7/5 (91 download)
Download or read book Artificial Neural Nets and Genetic Algorithms written by David W. Pearson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are subjects of the contributions to this volume. There are contributions reporting successful applications of the technology to the solution of industrial/commercial problems. This may well reflect the maturity of the technology, notably in the sense that 'real' users of modelling/prediction techniques are prepared to accept neural networks as a valid paradigm. Theoretical issues also receive attention, notably in connection with the radial basis function neural network. Contributions in the field of genetic algorithms reflect the wide range of current applications, including, for example, portfolio selection, filter design, frequency assignment, tuning of nonlinear PID controllers. These techniques are also used extensively for combinatorial optimisation problems.
Author : David W. Pearson
Publisher : Springer Science & Business Media
ISBN 13 : 370910646X
Total Pages : 274 pages
Book Rating : 4.7/5 (91 download)
Download or read book Artificial Neural Nets and Genetic Algorithms written by David W. Pearson and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck in Austria. At that first conference, the organisers decided to organise a similar scientific meeting every two years. As a result, conferences were organised at Ales in France (1995), Norwich in England (1997), Portoroz in Slovenia (1999) and Prague in the Czech Republic (2001). It is a great honour that the conference is taking place in France for the second time. Each edition of ICANNGA has been special and had its own character. Not only that, participants have been able to sample the life and local culture in five different European coun tries. Originally limited to neural networks and genetic algorithms the conference has broadened its outlook over the past ten years and now includes papers on soft computing and artificial intelligence in general. This is one of the reasons why the reader will find papers on fuzzy logic and various other topics not directly related to neural networks or genetic algorithms included in these proceedings. We have, however, kept the same name, "International Conference on Artificial Neural Networks and Genetic Algorithms". All of the papers were sorted into one of six principal categories: neural network theory, neural network applications, genetic algorithm and evolutionary computation theory, genetic algorithm and evolutionary computation applications, fuzzy and soft computing theory, fuzzy and soft computing applications.
Author : Rudolf F. Albrecht
Publisher : Springer Science & Business Media
ISBN 13 : 370917533X
Total Pages : 752 pages
Book Rating : 4.7/5 (91 download)
Download or read book Artificial Neural Nets and Genetic Algorithms written by Rudolf F. Albrecht and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.
Author : Philippe Muller
Publisher :
ISBN 13 :
Total Pages : 180 pages
Book Rating : 4.:/5 (52 download)
Download or read book Prévision des taux de change, l'algorithme génétique et les réseaux de neurones written by Philippe Muller and published by . This book was released on 1997 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : CEDRIC.. GEGOUT
Publisher :
ISBN 13 :
Total Pages : 121 pages
Book Rating : 4.:/5 (49 download)
Download or read book TECHNIQUES EVOLUTIONNAIRES POUR L'APPRENTISSAGE DES RESEAUX DE NEURONES A COEFFICIENTS REELS written by CEDRIC.. GEGOUT and published by . This book was released on 1996 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: LA RECHERCHE D'UN ALGORITHME D'OPTIMISATION ADAPTE A UN PROBLEME DONNE NE PEUT PAS SE FAIRE DANS LE SEUL CADRE DES ALGORITHMES GENETIQUES, IL EST NECESSAIRE DE CONSIDERER UNE CLASSE D'ALGORITHMES PLUS GRANDE QUI CONTIENT TOUS LES ALGORITHMES INSPIRES DES MECANISMES GENETIQUES: LES ALGORITHMES EVOLUTIONNAIRES. CETTE CLASSE COMPREND TROIS GRANDS GROUPES: LES STRATEGIES EVOLUTIONNAIRES (OU EVOLUTIVES), LES TECHNIQUES DE PROGRAMMATION EVOLUTIONNAIRE ET LES ALGORITHMES GENETIQUES. LES ALGORITHMES QUI N'APPARTIENNENT PAS A L'UN DE CES GROUPES SONT DITS NON CONVENTIONNELS. COMME LE MONTRE CE RAPPORT LA RECHERCHE D'UN ALGORITHME EVOLUTIONNAIRE ADAPTE A UN PROBLEME DONNE AMENE NATURELLEMENT A LA CONCEPTION D'UN ALGORITHME NON CONVENTIONNEL. ON TACHERA DE MONTRER PAR L'AGENCEMENT D'ALGORITHMES EVOLUTIONNAIRES NON CONVENTIONNELS LES ATTRAITS DE CHACUNS, ET LES MOYENS DE LES RENFORCER. LE PRINCIPAL OBJECTIF ETANT D'APPREHENDER LES PROPRIETES ET LES FONCTIONNALITES LES PLUS INTERESSANTES DE CES ALGORITHMES POUR L'APPRENTISSAGE DE RESEAUX DE NEURONES, L'ESSENTIEL DES TRAVAUX EXPOSES SERA ELABORE AU PROFIT DES RESEAUX DE NEURONES. ON INTRODUIRA LES PRINCIPALES CARACTERISTIQUES D'UN CODAGE EFFICACE ET ON DEVELOPPERA EN PARTICULIER LES NOTIONS DE MINIMALITE ET DE REDONDANCE. CECI NOUS PERMETTRA DE RESOUDRE LE PROBLEME DE L'INITIALISATION DES RESEAUX DE NEURONES POUR LES ALGORITHMES BASES SUR UNE DESCENTE DE GRADIENT. CE PROBLEME EST CONSIDERE COMME UN PROBLEME D'OPTIMISATION REELLE, IL PEUT ETRE ETUDIE COMME UN PROBLEME MULTICRITERE OU L'EVALUATION D'UN BON RESEAU D'INITIALISATION S'EFFECTUE AVEC LA FONCTION DE SORTIE CALCULEE PAR LE RESEAU ET SA DIFFERENTIELLE. ON ETUDIE ENSUITE LE PROBLEME DE L'APPRENTISSAGE DES RESEAUX DE NEURONES RECURRENTS. CE PROBLEME EST PLUS COMPLEXE QUE CELUI DES RESEAUX DE NEURONES NON RECURRENTS. ON CHOISIT D'ETUDIER LE COMPORTEMENT ASYMPTOTIQUE DE CES RESEAUX. DANS CE CADRE, LES ALGORITHMES EVOLUTIONNAIRES SONT DES OUTILS PUISSANTS PERMETTANT D'ENTRAINER UN RESEAU POUR QU'IL APPROCHE UNE FONCTION DONNEE
Author : Vera Kurkova
Publisher : Springer Science & Business Media
ISBN 13 : 3709162300
Total Pages : 518 pages
Book Rating : 4.7/5 (91 download)
Download or read book Artificial Neural Nets and Genetic Algorithms written by Vera Kurkova and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits.
Author : James Devillers
Publisher : Academic Press
ISBN 13 : 0080532381
Total Pages : 345 pages
Book Rating : 4.0/5 (85 download)
Download or read book Genetic Algorithms in Molecular Modeling written by James Devillers and published by Academic Press. This book was released on 1996-06-07 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry. Each comprehensive chapter is written by a distinguished researcher in the field. Through its up to the minute content, extensive bibliography, and essential information on software availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic algorithms for modeling the biological activities and properties of chemicals, and provides the trained scientist with the most up to date information on the topic. Extremely topical and timely Sets the foundations for the development of computer-aided tools for solving numerous problems in QSAR and drug design Written to be accessible without prior direct experience in genetic algorithms
Author : Duc Pham
Publisher : Springer Science & Business Media
ISBN 13 : 1447107217
Total Pages : 308 pages
Book Rating : 4.4/5 (471 download)
Download or read book Intelligent Optimisation Techniques written by Duc Pham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers. The book also contains the C programs used to implement the main techniques for those wishing to experiment with them.
Author : Dimitris C. Dracopoulos
Publisher : Springer
ISBN 13 : 1447109031
Total Pages : 214 pages
Book Rating : 4.4/5 (471 download)
Download or read book Evolutionary Learning Algorithms for Neural Adaptive Control written by Dimitris C. Dracopoulos and published by Springer. This book was released on 2013-12-21 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be applied to difficult adaptive control problems which conventional results are either unable to solve , or for which they can not provide satisfactory results. It focuses on the principles involved, rather than on the modelling of the applications themselves, and therefore provides the reader with a good introduction to the fundamental issues involved.
