| The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS, including its subseries LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work, research projects, technical reports, etc.) |
| Artificial Neural Networks Hypersphere Support Vector Machines Based on Multiplicative Updates The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance Gabor Feature Based Classification Using LDA/QZ Algorithm for Face Recognition Breast Cancer Detection Using Hierarchical B-Spline Networks Ensemble-Based Discriminant Manifold Learning for Face Recognition Perceptual Leanfing Inspired Model Selection Method of Neural Networks Improving Nearest Neighbor Rule with a Simple Adaptive Distance Measure A Sparse Kernel-Based Least-Squares Temporal Difference Algorithm for Reinforcement Learning Independent Component Analysis Based Blind Deconvolution of Spectroscopic Data Parameterized Semi-supervised Classification Based on Support Vector for Multi-relational Data Credit Scoring Model Based on Neural Network with Particle Swarm Optimization A Novel CFNN Model for Designing Complex FIR Digital Filters SAPSO Neural Network for Inspection of Non-development Hatching Eggs Research on Stereographic Projection and It's Application on Feed Forward Neural Network Fuzzy CMAC with Online Learning Ability and Its Application Multiresolution Neural Networks Based on Immune Particle Swarm Algorithm Multieategory Classification Based oil the Hypereube Self-Organizing Mapping (SOM) Scheme Increased Storage Capacity in Hopfield Networks by Small-World Topology Associative Memory with Small World Connectivity Built on Watts-Strogatz Model A Hopfiled Neural Network Based on Penalty Function with Objective Parameters Study on Discharge Patterns of Hindmarsh-Rose Neurons Under Slow Wave Current Stinmlation Proximal SVM Ensemble Based on Feature Selection …… Natural Neural Systems and Cognitive Science Neural Network Applications Evolutionary Computation: Theory and Algorithms Author index |
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