A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization

Developments in stochastic optimization algorithms with gradient approximations based on function measurements

WSC '94 Proceedings of the 26th conference on Winter simulation

Analog VLSI Circuits for Competitive Learning Networks

Analog Integrated Circuits and Signal Processing - Special issue: cellular neural networks and analog VLSI

Hardware Implementation of a Pulse Density Neural Network Using Simultaneous Perturbation Learning Rule

Analog Integrated Circuits and Signal Processing - Special issue on Learning on Silicon

A Circuit Architecture for Analog On-Chip Back Propagation Learning with Local Learning Rate Adaptation

Analog Integrated Circuits and Signal Processing - Special issue on Learning on Silicon

Analog VLSI hardware implementation of a supervised learning algorithm

Hardware implementation of intelligent systems

Analog VLSI Stochastic Perturbative Learning Architectures

Analog Integrated Circuits and Signal Processing

Analog VLSI Implementation of Artificial Neural Networks with Supervised On-Chip Learning

Analog Integrated Circuits and Signal Processing

On the capabilities of neural networks using limited precision weights

Neural Networks

Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Supervised Learning Through Neuronal Response Modulation

Neural Computation

Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks

Neural Computation

High-speed, model-free adaptive control using parallel synchronous detection

Proceedings of the 20th annual conference on Integrated circuits and systems design

On simultaneous perturbation particle swarm optimization

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation

A model of motor learning in closed-loop brainmachine interfaces: predicting neural tuning changes

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics

Bidirectional associative memory with learning capability using simultaneous perturbation

Neurocomputing

A heuristically enhanced gradient approximation (HEGA) algorithm for training neural networks

Neurocomputing

A SiGe BiCMOS eight-channel multidithering sub-microsecond adaptive controller

IEEE Transactions on Circuits and Systems Part I: Regular Papers

Learning in closed-loop brain-machine interfaces: modeling and experimental validation

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Standard additive fuzzy system for stock price forecasting

ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II