Polyhedral separability through successive LP
Journal of Optimization Theory and Applications
How to analyse evolutionary algorithms
Theoretical Computer Science - Natural computing
LTF-C - Neural Network for Solving Classification Problems
PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
Types and forms of knowledge (patterns): neural networks
Handbook of data mining and knowledge discovery
LTF-C: architecture, training algorithm and applications of new neural classifier
Fundamenta Informaticae
Three-Dimensional Feedforward Neural Networks and Their Realization by Nano-Devices
Artificial Intelligence Review
Soft Computing for diagnostics in equipment service
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Constructive memory for situated design agents
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Adaptive Aircraft Flight Control Simulation Based on an Artificial Immune System
Applied Intelligence
Three-dimensional feedforward neural networks and their realization by nano-devices
Artificial intelligence in logic design
Scalable architecture for on-chip neural network training using swarm intelligence
Proceedings of the conference on Design, automation and test in Europe
The Influence of Training Data Availability Time on Effectiveness of ANN Adaptation Process
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Introduction to Constructive and Optimization Aspects of SONN-3
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Self Optimizing Neural Networks SONN-3 for Classification Tasks
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Spicules for Unsupervised Learning
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Effects of widely separated clusters on lotto-type competitive learning with particle swarm features
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Approximation of stochastic processes by T--S fuzzy systems
Fuzzy Sets and Systems
Voronoi diagrams based function identification
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Comparison of plasticity of self-optimizing neural networks and natural neural networks
IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
A new extension of self-optimizing neural networks for topology optimization
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Considering multidimensional information through vector neural networks
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Perceptive, non-linear speech processing and spiking neural networks
Nonlinear Speech Modeling and Applications
LTF-C: Architecture, Training Algorithm and Applications of New Neural Classifier
Fundamenta Informaticae
Decision rule length as a basis for evaluation of attribute relevance
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications
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From the Publisher:A hands-on guide to the design and implementation of neural networks-- A comprehensive source of reference for all neural network users, designers and implementers-- Provides an information pathway between scientists and engineers in different disciplines who apply neural networks to generically similar problems-- Offers access to timely information in a rapidly changing field-- World Wide Web access to the complete handbook available free to electronic edition subscribersIn recent years, neural computation has developed from a specialized research discipline into a broadly based and dynamic activity with applications in an astonishing variety of fields. Many scientists, engineers and other practitioners are now using neural networks to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The inaugural volume in the Computational Intelligence Library provides speeedy dissemination of new ideas to a broad spectrum of neural network users, designers and implementers. Devoted to network fundamentals, models, algorithms and applications, the work is intended to become the standard reference resource for the neural network community. As the field expands and develops, leading researchers will report on an analyze promising new approaches. In this way, the Handbook will become an evolving compendium on the state of the art of neural computation. Available in loose-leaf print form as well as in an electronic edition that combines both CD-ROM and on-line (World Wide Web) access to its contents, the Handbook of Neural Computation is available on a subscription basis, with regularly publishedsupplements keeping readers abreast of late-breaking developments and new advances in this rapidly developing field.