Advances in Computational Intelligence : 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II / edited by Ignacio Rojas, Gonzalo Joya, Joan Cabestany.

Format:

Book

Contributor:

Rojas, Ignacio, editor.

Joya, Gonzalo, editor.

Cabestany, Joan, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 7903.

Theoretical Computer Science and General Issues ; 7903

Language:

English

Subjects (All):

Bioinformatics.

Pattern perception.

Artificial intelligence.

Data mining.

Computers.

Computational Biology/Bioinformatics.

Pattern Recognition.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Models and Principles.

Local Subjects:

Computational Biology/Bioinformatics.

Pattern Recognition.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Models and Principles.

Bioinformatics.

Physical Description:

1 online resource (XXVIII, 517 pages) : 180 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-642-38682-4

9783642386824

Access Restriction:

Restricted for use by site license.