Analysis of the back-propagation algorithm with momentum

Authors:
V. V. Phansalkar;P. S. Sastry
Affiliations:
Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore;-
Venue:
IEEE Transactions on Neural Networks
Year:
1994

Citing 0
Cited 9

Stability analysis of a three-term backpropagation algorithm

Neural Networks
Precipitation data fusion using vector space transformation and artificial neural networks

Pattern Recognition Letters
Convergence analysis of a back-propagation algorithm with adaptive momentum

Neurocomputing
Genetic algorithms for feature selection of image analysis-based quality monitoring model: An application to an iron mine

Engineering Applications of Artificial Intelligence
An H∞ control approach to robust learning of feedforward neural networks

Neural Networks
Robust adaptive learning of feedforward neural networks via LMI optimizations

Neural Networks
Wavelet based Neuro-Detector for low frequencies of vibration signals in electric motors

Applied Soft Computing
Neural network with type-2 fuzzy weights adjustment for pattern recognition of the human iris biometrics

MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this letter, the back-propagation algorithm with the momentum term is analyzed. It is shown that all local minima of the sum of least squares error are stable. Other equilibrium points are unstable