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Advances in Neural Network Research : IJCNN 2003 - D.C. Wunsch II

Advances in Neural Network Research

IJCNN 2003

Hardcover Published: 5th September 2003
ISBN: 9780080443201
Number Of Pages: 434

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IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. It
has arguably been the preeminent conference in the field, even as neural network conferences
have proliferated and specialized. As the number of conferences has grown, its strongest
competition has migrated away from an emphasis on neural networks. IJCNN has embraced the
proliferation of spin-off and related fields (see the topic list, below), while maintaining a core
emphasis befitting its name. It has also succeeded in enforcing an emphasis on quality.

Preface: the best of the bestp. 519
Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellump. 521
Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classificationp. 529
Intrinsic generalization analysis of low dimensional representationsp. 537
Application of four-layer neural network on information extractionp. 547
Subject independent facial expression recognition with robust face detection using a convolutional neural networkp. 555
A generalized feedforward neural network architecture for classification and regressionp. 561
Hierarchical cognitive mapsp. 569
Modeling goal-directed spatial navigation in the rat based on physiological data from the hippocampal formationp. 577
An efficient training algorithm for dynamic synapse neural networks using trust region methodsp. 585
Temporal binding as an inducer for connectionist recruitment learning over delayed linesp. 593
Developments in understanding neuronal spike trains and functional specializations in brain regionsp. 601
Shaping up simple cell's receptive field of animal vision by ICA and its application in navigation systemp. 609
eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architecturesp. 617
Associative morphological memories based on variations of the kernel and dual kernel methodsp. 625
Adaptive double self-organizing maps for clustering gene expression profilesp. 633
An accelerated procedure for recursive feature ranking on microarray datap. 641
Pattern completion through phase coding in population neurodynamicsp. 649
Passive dendritic integration heavily affects spiking dynamics of recurrent networksp. 657
Abductive reasoning with recurrent neural networksp. 665
Neural networks with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputsp. 675
Simple and conditioned adaptive behavior from Kalman filter trained recurrent networksp. 683
Learning robot actions based on self-organising language memoryp. 691
Autonomous mental development in high dimensional context and action spacesp. 701
Chaos control and synchronization, with input saturation, via recurrent neural networksp. 711
Proper orthogonal decomposition based optimal neurocontrol synthesis of a chemical reactor process using approximate dynamic programmingp. 719
Numerical solution of elliptic partial differential equation using radial basis function neural networksp. 729
Statistical efficiency of adaptive algorithmsp. 735
On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learningp. 745
Stochastic resonance in noisy threshold neuronsp. 755
Quantum optimization for training support vector machinesp. 763
On the quality of ART1 text clusteringp. 771
Extension neural network and its applicationsp. 779
Fuzzy least squares support vector machines for multiclass problemsp. 785
Evolving efficient learning algorithms for binary mappingsp. 793
A network for recursive extraction of canonical coordinatesp. 801
Automatic basis selection techniques for RBF networksp. 809
Data smoothing regularization, multi-sets-learning, and problem solving strategiesp. 817
Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networksp. 827
A practical sub-space adaptive filterp. 833
Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative studyp. 841
Electronic nose based tea quality standardizationp. 847
A novel neural network-based survival analysis modelp. 855
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear modelsp. 865
Stochastic error whitening algorithm for linear filter estimation with noisy datap. 873
New internal optimal neurocontrol for a series FACTS device in a power transmission linep. 881
Design of an adaptive neural network based power system stabilizerp. 891
On neural network techniques in the secure management of communication systems through improving and quality assessing pseudorandom stream generatorsp. 899
Multimedia authenticity protection with ICA watermarking and digital bacteria vaccinationp. 907
Interpolation processes in the visual perception of objectsp. 915
Laminar cortical dynamics of visual form perceptionp. 925
Moving objects appear to slow down at low contrastsp. 933
Neural models of motion integration and segmentationp. 939
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780080443201
ISBN-10: 0080443206
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 434
Published: 5th September 2003
Publisher: Elsevier Science & Technology
Country of Publication: GB
Dimensions (cm): 28.09 x 21.69  x 2.24
Weight (kg): 1.38

Earn 568 Qantas Points
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