Fuzzy neural network means using neural network architecture to realize fuzzy inference,and better performance can be achieved by fusing neural network and fuzzy reasoning. First,adopts genetic algorithm to train the fuzzy neural network off-line. Next BP algorithm is employed to train the fuzzy neural controller on-line.
After feature tagging they are used to train the maximum entropy model.
The other involved the adoption of multistep predictive cost energy to train the weights of the decoupling controller.
Using the method for calculating the transmission ratio of planet gear train, the relationship of the two oscillating angle between output axis and the bracket is established.
To find the motif features and the effect on siRNA activity, we carried out a feature extraction on some published experimental data and used these features to train a back-propagation neural network (BP NN).
Dynamic response of a long span suspension bridge and running safety of a train under wind action