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Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I de Joan Cabestany

Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I: Lecture Notes in Computer Science, cartea 6691

Editat de Joan Cabestany, Ignacio Rojas, Gonzalo Joya
en Limba Engleză Paperback – 30 mai 2011
This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The first volume includes 69 papers organized in topical sections on mathematical and theoretical methods in computational intelligence; learning and adaptation; bio-inspired systems and neuro-engineering; hybrid intelligent systems; applications of computational intelligence; new applications of brain-computer interfaces; optimization algorithms in graphic processing units; computing languages with bio-inspired devices and multi-agent systems; computational intelligence in multimedia processing; and biologically plausible spiking neural processing.
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Specificații

ISBN-13: 9783642215001
ISBN-10: 3642215009
Pagini: 605
Ilustrații: XXXVII, 568 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.93 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Textul de pe ultima copertă

This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The first volume includes 69 papers organized in topical sections on mathematical and theoretical methods in computational intelligence; learning and adaptation; bio-inspired systems and neuro-engineering; hybrid intelligent systems; applications of computational intelligence; new applications of brain-computer interfaces; optimization algorithms in graphic processing units; computing languages with bio-inspired devices and multi-agent systems; computational intelligence in multimedia proessing; and biologically plausible spiking neural processing.

Caracteristici

State-of-the-art research Fast-track conference proceedings Unique visibility

Cuprins

It’s as Easy as ABC: Introducing Anthropology-Based Computing.- Extreme Learning Machine: A Robust Modeling Technique? Yes!.- A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion.- Using Nonlinear Dimensionality Reduction to Visualize Classifiers.- Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study.- Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller.- A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel.- Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks.- Diffusion Methods for Wind Power Ramp Detection.- Computational Study Based on Supervised Neural Architectures for Fluorescence Detection of Fungicides.- Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks.- A Cloud-Based Neural Network Simulation Environment.- Performance Evaluation over Indoor Channels of an Unsupervised Decision-Aided Method for OSTBC Systems.- On Second Language Tutoring through Womb Grammars.- Simulated Annealing for Real-Time Vertical-Handoff in Wireless Networks.- Ant Colony Optimization Inspired Algorithm for 3D Object Segmentation.- Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks.- A Genetic Algorithms-Based Approach for Optimizing Similarity Aggregation in Ontology Matching.- Self-organized Learning by Self-Enforcing Networks.