Training multilayer perceptrons with the extended Kalman algorithm

GMM-PAM: a genetic multilevel multicategory perceptron associative memory

CSC '90 Proceedings of the 1990 ACM annual conference on Cooperation

Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons

IEEE Transactions on Pattern Analysis and Machine Intelligence

Nonlinear time-series prediction with missing and noisy data

Neural Computation

Extended Kalman filter-based pruning method for recurrent neural networks

Neural Computation

An adaptive Bayesian pruning for neural networks in a non-stationary environment

Neural Computation

Extended Kalman filter training of neural networks on a SIMD parallel machine

Journal of Parallel and Distributed Computing

Dynamic Learning with the EM Algorithm for Neural Networks

Journal of VLSI Signal Processing Systems

Comments on "Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons"

IEEE Transactions on Pattern Analysis and Machine Intelligence

Training fuzzy systems with the extended Kalman filter

Fuzzy Sets and Systems - Fuzzy systems

Fast curvature matrix-vector products for second-order gradient descent

Neural Computation

Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems

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

Fast Curvature Matrix-Vector Products

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Dual extended Kalman filtering in recurrent neural networks

Neural Networks

Sequential Monte Carlo Methods to Train Neural Network Models

Neural Computation

Hierarchical Bayesian Models for Regularization in Sequential Learning

Neural Computation

Computational Intelligence: Concepts to Implementations

Computational Intelligence: Concepts to Implementations

Neural solution to the target intercept problems in a gun fire control system

Neurocomputing

Analysis and design of echo state networks

Neural Computation

Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm

Neurocomputing

Adaptive control of a nonlinear dc motor drive using recurrent neural networks

Applied Soft Computing

A recursive algorithm for nonlinear least-squares problems

Computational Optimization and Applications

Radial basis function networks for wind speed prediction

AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases

Feedforward neural networks training with optimal bounded ellipsoid algorithm

NN'08 Proceedings of the 9th WSEAS International Conference on Neural Networks

Neural Networks Training with Optimal Bounded Ellipsoid Algorithm

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks

Neural network learning of optimal Kalman prediction and control

Neural Networks

Nonlinear system identification with a feedforward neural network and an optimal bounded ellipsoid algorithm

WSEAS Transactions on Computers

Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter

Fuzzy Sets and Systems

Recurrent neural networks training with stable bounding ellipsoid algorithm

IEEE Transactions on Neural Networks

Gaussian sum approach with optimal experiment design for neural network

SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing

High order neural networks for wind speed time series prediction

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Analysis of the neural extended Kalman filter for target tracking using different neural network functions

AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications

Predictive guidance intercept using the neural extended Kalman filter tracker

Control and Intelligent Systems

Locally recurrent neural networks for long-term wind speed and power prediction

Neurocomputing

An adaptive location estimator using tracking algorithms for indoor WLANs

Wireless Networks

On h∞ filtering in feedforward neural networks training and pruning

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Discrete time nonlinear identification via recurrent high order neural networks for a three phase induction motor

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I

Discrete-time inverse optimal neural control for synchronous generators

Engineering Applications of Artificial Intelligence

Unscented Kalman Filtering on Riemannian Manifolds

Journal of Mathematical Imaging and Vision