用“learning algorithm”造句大全，learning algorithm造句

Simulation shows that the learning algorithm has a fast convergence speed and good stability.

The neuron controller with its self-learning ability can realize the on-line learning algorithm, and it is adopted as the position controller of the AC servo system.

The Word Sense Disambiguation (WSD) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model.

A corollary of this principle is that a learning algorithm should never be evaluated for its results in the training set because this shows no evidence of an ability to generalize to unseen instances.

An incremental learning algorithm for multi-class sample

Support Vector machine (SVM) is a kind of new machine learning algorithm developed on the basis of statistical learning theory.

A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.

This system, possesses the structure of neural net and learning algorithm, addressed as fuzzy neural net FNN.

The corresponding learning algorithm is given and the effectiveness of this method is proved by the prediction of exhaust gas temperature in aircraft engine condition monitoring.

The study of multi-agent learning algorithm based on variable learning rate

Neural network identification of underwater robot based on hybrid learning algorithm

Robust learning algorithm is used in this paper in order to acquire the right result among all candidates.

Fast learning algorithm with progressive transductive support vector machine

A learning algorithm and its applications to the quantum neural network model

Controller is designed based on VHDL, the research keys are the implementation of the on-line learning algorithm of CMAC and the closed-loop simulation test of the controller.

Power system stabilizer based on fuzzy neural network with improved learning algorithm

Support vector machine is a kind of machine learning algorithm based on statistical learning theory which mainly researches the learning of limited number of samples.

Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision.

Then the mechanism of the chaotic learning algorithm is described, and the adaptive learning algorithm of WNN for traffic flow time series is designed.