A novel training scheme for multilayered perceptrons to realize proper generalization and incremental learning

A self-organizing HCMAC neural-network classifier

A neural-network packet switch controller: scalability, performance, and network optimization

Absolute exponential stability of a class of continuous-time recurrent neural networks

An unsupervised probabilistic net for health inequalities analysis

The self-trapping attractor neural network. I. Analysis of a simple 1-D model

A reinforcement discrete neuro-adaptive control for unknown piezoelectric actuator systems with dominant hysteresis

Tuning of the structure and parameters of a neural network using an improved genetic algorithm

Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: multinorm algorithms

Robust output feedback control of nonlinear stochastic systems using neural networks

Face recognition using kernel direct discriminant analysis algorithms

Fast minimization of structural risk by nearest neighbor rule

A neural-network appearance-based 3-D object recognition using independent component analysis

An adaptable neural-network model for recursive nonlinear traffic prediction and modeling of MPEG video sources

Neural networks for blind-source separation of Stromboli explosion quakes

Implementation issues of neuro-fuzzy hardware: going toward HW/SW codesign

Face recognition using LDA-based algorithms

Stability analysis of neural-network interconnected systems

Content-based audio classification and retrieval by support vector machines

A new approach to perceptron training

Asymptotic stability criteria for a two-neuron network with different time delays

Nonlinear blind source separation using kernels

A new digital pulse-mode neuron with adjustable activation function

Computing with phase locked loops: choosing gains and delays