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Speech, Audio, Image and Biomedical Signal Processing using Neural Networks / Bhanu Prasad

Public ISBD Titre : Speech, Audio, Image and Biomedical Signal Processing using Neural Networks : with 157 figures and 81 tables Type de document : texte imprimé Auteurs : Bhanu Prasad, Auteur ; S.R. Mahadeva Prasanna, Auteur Editeur : Berlin Heidelberg : Springer-Verlag Année de publication : 2008 Collection : Studies in Computational Intelligence Importance : 419 p. Présentation : couv. ill.,ill. Format : 24 cm. ISBN/ISSN/EAN : 978-3-540-75397-1 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-11 Traitement des biosignaux Résumé : Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It consists of 18 chapters prepared by some reputed researchers and practitioners around the globe. Note de contenu : Contents Information Theoretic Feature Selection and Projection Recognition of Tones in Yorùbá Speech: Experiments With Artificial Neural Networks Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles Modeling Supra-Segmental Features of Syllables Using Neural Networks Objective Speech Quality Evaluation Using an Adaptive Neuro-Fuzzy Network A Novel Approach to Language Identification Using Modified Polynomial Networks Speech/Non-Speech Classification in Hearing Aids Driven by Tailored Neural Networks Audio Signal Processing Democratic Liquid State Machines for Music Recognition Color Transfer and its Applications A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images Fisher Linear Discriminant Analysis and Connectionist Model for Efficient Image Recognition Detection and Recognition of Human Faces and Facial Features Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks Convolutional Neural Networks for Image Processing with Applications in Mobile Robotics SVM Based Adaptive Biometric Image Enhancement Using Quality Assessment Segmentation and Classification of Leukocytes. Using Neural Networks: A Generalization Direction A Closed Loop Neural Scheme to Control Knee Flex-Extension Induced by Functional Electrical Stimulation: Simulation Study and Experimental Test on a Paraplegic Subject Speech, Audio, Image and Biomedical Signal Processing using Neural Networks : with 157 figures and 81 tables [texte imprimé] / Bhanu Prasad, Auteur ; S.R. Mahadeva Prasanna, Auteur . - Berlin Heidelberg : Springer-Verlag, 2008 . - 419 p. : couv. ill.,ill. ; 24 cm.. - (Studies in Computational Intelligence) . ISBN : 978-3-540-75397-1 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-11 Traitement des biosignaux Résumé : Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It consists of 18 chapters prepared by some reputed researchers and practitioners around the globe. Note de contenu : Contents Information Theoretic Feature Selection and Projection Recognition of Tones in Yorùbá Speech: Experiments With Artificial Neural Networks Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles Modeling Supra-Segmental Features of Syllables Using Neural Networks Objective Speech Quality Evaluation Using an Adaptive Neuro-Fuzzy Network A Novel Approach to Language Identification Using Modified Polynomial Networks Speech/Non-Speech Classification in Hearing Aids Driven by Tailored Neural Networks Audio Signal Processing Democratic Liquid State Machines for Music Recognition Color Transfer and its Applications A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images Fisher Linear Discriminant Analysis and Connectionist Model for Efficient Image Recognition Detection and Recognition of Human Faces and Facial Features Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks Convolutional Neural Networks for Image Processing with Applications in Mobile Robotics SVM Based Adaptive Biometric Image Enhancement Using Quality Assessment Segmentation and Classification of Leukocytes. Using Neural Networks: A Generalization Direction A Closed Loop Neural Scheme to Control Knee Flex-Extension Induced by Functional Electrical Stimulation: Simulation Study and Experimental Test on a Paraplegic Subject

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
3294	35-11-03	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	3294
3295	35-11-03	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	3295

Engineering evolutionary intelligent systems / Ajith Abraham

Public ISBD Titre : Engineering evolutionary intelligent systems Type de document : texte imprimé Auteurs : Ajith Abraham, Auteur ; Crina Grosan, Auteur ; Witold Pedrycz, Auteur Editeur : Berlin Heidelberg : Springer-Verlag Année de publication : 2008 Collection : Studies in Computational Intelligence Importance : 444 p. Présentation : couv. ill. en coul., ill. Format : 25 cm. ISBN/ISSN/EAN : 978-3-540-75395-7 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume 'Engineering Evolutionary Intelligent Systems deals with the theoretical and methodological aspects', as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business or commerce. This volume comprises of 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. The chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Note de contenu : Contents: Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews. Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures. Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design. Evolution of Inductive Self-organizing Networks. Recursive Pattern based Hybrid Supervised Training. Enhancing Recursive Supervised Learning Using Clustering and Combinatorial Optimization (RSL-CC). Evolutionary Approaches to Rule Extraction from Neural Networks. Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller. Evolutionary Fuzzy Modelling for Drug Resistant HIV-1 Treatment Optimization. A New Genetic Approach for Neural Network Design. A Grammatical Genetic Programming Representation for Radial Basis Function Networks. A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth. On the Design of Large-scale Cellular Mobile Networks Using Multi-population Memetic Algorithms. A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem. Particle Swarm Optimization with Mutation for High Dimensional Problems. Engineering evolutionary intelligent systems [texte imprimé] / Ajith Abraham, Auteur ; Crina Grosan, Auteur ; Witold Pedrycz, Auteur . - Berlin Heidelberg : Springer-Verlag, 2008 . - 444 p. : couv. ill. en coul., ill. ; 25 cm.. - (Studies in Computational Intelligence) . ISBN : 978-3-540-75395-7 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume 'Engineering Evolutionary Intelligent Systems deals with the theoretical and methodological aspects', as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business or commerce. This volume comprises of 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. The chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Note de contenu : Contents: Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews. Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures. Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design. Evolution of Inductive Self-organizing Networks. Recursive Pattern based Hybrid Supervised Training. Enhancing Recursive Supervised Learning Using Clustering and Combinatorial Optimization (RSL-CC). Evolutionary Approaches to Rule Extraction from Neural Networks. Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller. Evolutionary Fuzzy Modelling for Drug Resistant HIV-1 Treatment Optimization. A New Genetic Approach for Neural Network Design. A Grammatical Genetic Programming Representation for Radial Basis Function Networks. A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth. On the Design of Large-scale Cellular Mobile Networks Using Multi-population Memetic Algorithms. A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem. Particle Swarm Optimization with Mutation for High Dimensional Problems.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
3071	25-07-91	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	3071
3072	25-07-91	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	3072