Artificial Neural Nets. Problem Solving Methods: 7th International Work-conference On Artificial And Natural Neural Networks, Iwann 2003, Mao, Menor by Jos MiraArtificial Neural Nets. Problem Solving Methods: 7th International Work-conference On Artificial And Natural Neural Networks, Iwann 2003, Mao, Menor by Jos Mira

Artificial Neural Nets. Problem Solving Methods: 7th International Work-conference On Artificial…

byJos MiraEditorJosé R. Alvarez

Paperback | May 22, 2003

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The global purpose of IWANN conferences has been to provide a broad and - terdisciplinary forum for the interplay between neuroscience and computation. Our dream has been, and still is: (1) ?nd ways to understand the physiol- ical, symbolic and cognitive nature of the nervous system (NS) with the help of computational and engineering tools; and (2) ?nd rich and insightful sources of inspiration in biology, to develop new materials, mechanisms and probl- solving methods (PSM) of value in engineering and computation. As all of us knowwell, this dreamstarted with the AncientGreeks, reappearedin the fo- dational stage of neurocybernetics and bionics, and is now broadly accepted in the scienti?c community under di?erent labels such as computational neu- science(CN) andarti?cialneuralnets (ANN), orgenetic algorithmsandhybrid neuro-fuzzy systems. We have also to recognize that there is a considerable lack of credibility associated with CN and ANN among some researchers, both from biology and from the engineering and computation area. Potential causes of this scepticism could be the lack of methodology, formal tools, and real-world applications, in the engineering area, and the lack also of formal tools for cognitive process modeling. There is also the possibility of the computational paradigm being inappropriate to explain cognition, because of the "representational" character ofanycomputationalmodel. Some"moresituated"approachesarelookingback to the "neurophysiological epistemology" of the 1960's (mind in a body) to searchdirectlyforthemechanismsthatcouldembodythecognitiveprocess,and this means some fresh air for our old dream of connectionism.
Title:Artificial Neural Nets. Problem Solving Methods: 7th International Work-conference On Artificial…Format:PaperbackDimensions:828 pages, 0.88 × 0.64 × 0.01 inPublished:May 22, 2003Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

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ISBN - 10:354040211X

ISBN - 13:9783540402114

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Table of Contents

Nets Design.- FPGA Implementation of a Perceptron-like Neural Network for Embedded Applications.- NSP: a Neuro-Symbolic Processor.- Reconfigurable Hardware Architecture for Compact and Efficient Stochastic Neuron.- Current mode CMOS synthesis of a motor-control neural system.- New emulated discrete model of CNN architecture for FPGA and DSP applications.- A Binary Multiplier Using RTD Based Threshold Logic Gates.- Split-Precharge Differential Noise-Immune Threshold Logic Gate (SPD-NTL).- UV-programmable Floating-Gate CMOS Linear Threshold Element "P1N3".- CMOS Implementation of Generalized Threshold Functions.- A-DELTA: A 64-bit High Speed, Compact, Hybrid Dynamic-CMOS/Threshold-Logic Adder.- Validation of a Cortical Electrode Model for Neuroprosthetics purposes.- XMLP: a Feed-Forward Neural Network with Two-Dimensional Layers and Partial Connectivity.- An analogue current-mode hardware design proposal for preprocessing layers in ART-based neural networks.- On the effects of dimensionality on data analysis with neural networks.- Hardware Optimization of a Novel Spiking Neuron Model for the POEtic tissue..- Implementing a Margolus Neighborhood Cellular Automata on a FPGA.- An Empirical Comparison of Training Algorithms for Radial Basis Functions.- Ensemble Methods for Multilayer Feedforward: An Experimental Study.- Post-synaptic Time-dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model.- Applications in Robotics.- A Recurrent Neural Network for Robotic Sensory-based Search.- The Knowledge Engineering approach to Autonomous Robotics.- Multimodule Artificial Neural Network Architectures for Autonomous Robot Control Through Behavior Modulation.- Solving the Inverse Kinematics in Humanoid Robots: A Neural Approach.- Sensory-motor control scheme based on Kohonen Maps and AVITE model.- Validation of Features for Characterizing Robot Grasps.- Self-Organizing Maps versus Growing Neural Gas in a Robotic Application.- Towards reactive navigation and attention skills for 3D intelligent characters.- From Continuous Behaviour to Discrete Knowledge.- Sources Separation.- Initialisation of Nonlinearities for PNL and Wiener systems Inversion.- Evolutionary Algorithm Using Mutual Information for Independent Component Analysis.- Blind separation of linear-quadratic mixtures of real sources using a recurrent structure.- Advances in Neyman-Pearson Neural Detectors Design.- A novel unsupervised strategy to separate convolutive mixtures in the frequency domain.- An improved geometric overcomplete blind source separation algorithm.- Application of Independent Component Analysis to Edge Detection and Watermarking.- A new Geometrical ICA-based method for Blind Separation of Speech Signals..- A time-frequency blind source separation method based on segmented coherence function.- ISFET Source Separation based on linear ICA.- An application of ICA to blind DS-CDMA detection: a joint optimization criterion.- Genetics Algorithms.- A Genetic Algorithm for Controlling Elevator Group Systems.- Protein Structure Prediction Using Evolutionary Algorithms Hybridized with Backtracking.- Hybridizing a Genetic Algorithm with Local Search and Heuristic Seeding.- A Genetic Algorithm for Assembly Sequence Planning.- Genetic Algorithm applied to Paroxysmal Atrial Fibrillation Prediction.- Optimizing supply strategies in the Spanish Electrical Market.- Improving the Efficiency of Multiple Sequence Alignment by Genetic Algorithms.- A real application example of a control structure selection by means of a multiobjective genetic algorithm.- Weighting and Feature Selection on Gene-Expression data by the use of Genetic Algorithms.- Supervised Segmentation of the Cervical Cell Images by using the Genetic Algorithms.- Using Genetic Algorithms for solving partitioning problem in codesign.- Soft-Computing.- Neuro-Fuzzy Modeling Applied to GIS: a Case Study for Solar Radiation.- Evolutionary Multi-Model Estimators for ARMA System Modeling and Time Series Prediction.- Real-Coded GA for Parameter Optimization in Short-Term Load Forecasting.- Parallel Computation of an Adaptive Optimal RBF Network Predictor.- New Method for Filtered ICA Signals Applied To Volatile Time Series..- Robust Estimation of Confidence Interval in Neural Networks applied to Time Series.- Modelling the HIV-AIDS Cuban Epidemics with Hopfield Neural Networks.- Comparison of Neural Models, Off-line and On-line Learning Algorithms for a Benchmark Problem.- Using Neural Networks in a Parallel Adaptative Algorithm for the System Identification Optimization.- Nonlinear Parametric Model Identification using Genetic Algorithms.- Input-Output Fuzzy Identification of Nonlinear Multivariable Systems. Application to a Case of AIDS Spread Forecast.- Recovering Missing Data with Functional and Bayesian Networks.- Estimation of train speed via neuro-fuzzy techniques.- Neuro-Fuzzy Techniques for Image Tracking.- Images.- A Comparative Study of Fuzzy Classifiers on Breast Cancer Data.- A New Information Measure for Natural Images.- Defects Detection in Continuous Manufacturing by means of Convolutional Neural Networks.- Removal of Impulse Noise in Images by Means of the Use of Support Vector Machines.- Recognizing Images from ICA Filters and Neural Network Ensembles with Rule Extraction.- Independent Component Analysis for Cloud Screening of Meteosat Images.- Neural Solutions for High Range Resolution Radar Classification.- On the application of Associative Morphological Memories to Hyperspectral Image Analysis.- A Generalized Eigendecomposition Approach using Matrix Pencils to remove artefacts from 2D NMR Spectra.- Medical Applications.- Feature Vectors Generation for Detection of Microcalcifications in Digitized Mammography Using Neural Networks.- Simulation of the Neuronal Regulator of the Lower Urinary Tract using a Multiagent System.- Neural network modeling of ambulatory systolic blood pressure for hypertension diagnosis.- Multiple MLP Neural Networks Applied on the Determination of Segment Limits in ECG Signals.- Acoustic Features Analysis for Recognition of Normal and Hypoacustic Infant Cry Based on Neural Networks.- A Back Propagation Neural Network for Localizing Abnormal Cortical Regions in FDG PET images in Epileptic Children.- Other Applications.- ANN based tools in Astrophysics. Prospects and first results for GOA and the AVO.- An Artificial Neural Network Approach to Automatic Classification of Stellar Spectra.- Non Linear Process Identification Using a Neural Network Based Multiple Models Generator.- Application of HLVQ and G-Prop Neural Networks to the Problem of Bankruptcy Prediction.- Improved AURA k-Nearest Neighbour Approach.- Non-Linear Speech coding with MLP, RBF and Elman based prediction1.- An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing.- Generalizing Geometric ICA to Nonlinear Settings.- An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas.- METAL A: a Distributed System for Web Usage Mining.- Web Meta-search using Unsupervised Neural Networks.- Virtual Labs for Neural Networks E-courses.- MISTRAL: A Knowledge-Based System for Distance Education that Incorporates Neural Networks Techniques for Teaching Decisions.- A recurrent neural network model for the p-hub problem.- A comparison of the performance of SVM and ARNI on Text Categorization with new filtering measures on an unbalanced collection.- Neural Networks & Antennas Design: an Application for Avoiding Interferences.- Feedback Linearization Using Neural Networks: Application to an Electromechanical Process.- Automatic Size Determination of Codifications for the Vocabularies of the RECONTRA Connectionist Translator*.- Integrating Ensemble of Intelligent Systems for Modeling Stock Indices.- Resolution of joint maintenance/production scheduling by sequential and integrated strategies.- MLP and RBFN for detecting white gaussian signals in white gaussian interference.- Feature reduction using Support Vector Machines for binary gas detection.- Artificial Neural Networks Applications for Total Ozone Time Series.