A combined neural network fuzzy controller based on L-M algorithm;

Application of L-M algorithm with N-W method in fault diagnosis of transformer;

The L-M algorithm was employed in the BP neuron network through the comparison of three different kinds of algorithms, and the effects of factors, such as the content of volatile matter(Vdaf) in raw coals, the ratio of H and C (H/C) in coal chars, pyrolysis temperature, heating rate and gasification temperature, on the prediction error of BP neuron network were investigated.

An artificial neural network(ANN) using Levenberg-Marquardt algorithm for network training is presented to diagnose faults in turbine generator set equipment.

Levenberg-Marquardt algorithm is involved in training BP neural network weights.

In the end,network is trained and forecasted by Levenberg-Marquardt algorithm.

Second,L-M arithmetic that is improved train arithmetic of BP network is used.

Model for predicting crop water requirements by using L-M optimization algorithm BP neural network;

The various influemce factors to the physicochemical properties of lanthanide are studied in this paper and the physicochemical properties of nine kinds of lanthanide are associated too using lanthanide foundation state value L,electronegativity 4f,electronic arrangement periodic factors q and ionic radius as the parameters and using the BP neural network based on L-M optimization algorithm.

Prediction model for rice stem borer based on L-M optimized algorithm and its preliminary application;