Experiments in Gait Pattern Classiication with Neural Networks of Adaptive Architecture

Constructive Neural Network Learning Algorithms for Multi-category Real-valued Pattern Classiication Constructive Neural Network Learning Algorithms for Multi-category Real-valued Pattern Classiication

Constructive learning algorithms ooer an attractive approach for incremental construction of potentially near-minimal neural network architectures for pattern classiication tasks. These algorithms help overcome the need for ad-hoc and often inappropriate choice of network topology in the use of algorithms that search for a suitable weight setting in an a-priori xed network architecture. Several...

Constructive Neural Network Learning Algorithms for Multi-category Pattern Classiication Constructive Neural Network Learning Algorithms for Multi-category Pattern Classiication

Constructive learning algorithms ooer an approach for incremental construction of potentially near-minimal neural network architectures for pattern classiication tasks. Such algorithms help overcome the need for ad-hoc and often inappropriate choice of network topology in the use of algorithms that search for a suitable weight setting in an otherwise a-priori xed network architecture. Several s...

Mtiling -a Constructive Neural Network Learning Algorithm for Multi-category Pattern Classiication

Constructive learning algorithms ooer an approach for incremental construction of potentially near-minimal neural network architectures for pattern classiication tasks. Such algorithms help overcome the need for ad-hoc and often inappropriate choice of network topology in the use of algorithms that search for a suitable weight setting in an otherwise a-priori xed network architecture. Several s...

Modeling and Control of Gas Turbine Combustor with Dynamic and Adaptive Neural Networks (TECHNICAL NOTE)

Adaptive Leader-Following and Leaderless Consensus of a Class of Nonlinear Systems Using Neural Networks

This paper deals with leader-following and leaderless consensus problems of high-order multi-input/multi-output (MIMO) multi-agent systems with unknown nonlinear dynamics in the presence of uncertain external disturbances. The agents may have different dynamics and communicate together under a directed graph. A distributed adaptive method is designed for both cases. The structures of the contro...