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Bayesian Learning for Neural Networks

Biological and Artificial Intelligence Environments

Extremal Fuzzy Dynamic Systems : Theory and Applications

Bayesian Networks and Decision Graphs

Artificial Neural Networks

The relevance of the time domain to neural network models

Advances in type-2 fuzzy sets and systems : theory and applications

The neuroprocessor : an integrated interface to biological neural networks

Methods and procedures for the verification and validation of artificial neural networks

FPGA implementations of neural networks

Networks of learning automata : techniques for online stochastic optimization

The Nature of Statistical Learning Theory

The Book of Genesis : Exploring Realistic Neural Models with the General Neural Simulation System

The Biophysical Analysis of Neurons and Networks : Computational Modeling of Electrophysical Data

Cellular neural networks : dynamics and modelling

Neural Network Data Analysis Using Simulnet (TM)

Information Dynamics : Foundations and Applications

Foreign-Exchange-Rate Forecasting with Artificial Neural Networks

From computer to brain : foundations of computational neuroscience

Models of Neural Networks III : Association, Generalization, and Representation

Models of Neural Networks IV : Early Vision and Attention

Metaheuristic Procedures for Training Neural Networks

Dynamic Interactions in Neural Networks: Models and Data

Hands : A Pattern Theoretic Study of Biological Shapes

Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation

Advances in Type-2 Fuzzy Sets and Systems : Theory and Applications

Frontiers of higher order fuzzy sets

Fuzzy Sets in Approximate Reasoning and Information Systems

An Information-Theoretic Approach to Neural Computing

Models of Neural Networks : Temporal Aspects of Coding and Information Processing in Biological Systems

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