In this paper,adaptive neural network internal control algorithm is adopted,the controller includes two neural networks,one is ANNC,the other is ANNI.

Studies on prediction of standard entropy of cations by using adaptive fuzzy neural network;

Studies on prediction of the stabilities of metal-HEDTA complex by using adaptive fuzzy neural network;

This system predicts the thickness error according to errors between predicted rolling forces and measured ones by applying adaptive networks based fuzzy inference system (ANFIS),and then adjusts the gaps of downstream stands dynamically.

This article utilizes the character of Gray Theory to predict the economy parameter,and then in order to obtain a better predicting effect,the ANFIS is employed to predict its simulating error.

This article holds the purpose that,by using ANFIS,the eccentricity framework structure under the multi-dimensional earthquake excitation will be controlled,and the controlling force will be mount out through that made ANFIS being the controlling device and inputs the velocity and acceleration.

A short-term electricity price forecasting method based on Takagi-Sugeno model and adaptive neuro-fuzzy inference system (ANFIS) is proposed.

The paper discusses a method of subtractive clustering adaptive neuro-fuzzy inference system for short-term load forecasting.

In this paper,a new modeling method is proposed for the DSPM machine to take into account its nonlinearity more accurately by using adaptive-network-based fuzzy inference system.