这种并行混合学习算法已经在MIMD平台实现了。
This parallel hybrid algorithm hasbeen implemented on an MIMD platform.
混合学习算法提高了网络参数的辨识速度和网络计算的收敛速度。
This new algorithm greatly raises the speed of parameter identification and computation convergence. An avionic equipment cost estimation model is set up based on ANFIS network.
针对BP算法的不足，使用混合学习算法训练网络，优化了网络参数。
Because of defects of BP algorithm, a hybrid learning algorithm is applied to train and optimize the network parameters.
这种并行混合学习算法已经在多指令流多数据流(MIMD)平台实现。
The parallel hybrid algorithm is implemented on an MIMD Platform.
提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。
A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient.
求解马氏决策问题的梯度增强学习算法； 求解马氏决策问题的进化-梯度混合学习算法；
One part of the main contents in this paper is the generalization methods for reinforcement learning in solving Markov decision problems with continuous states and actions.
然后通过梯度下降法和最小二乘法相结合的混合学习算法，对控制器参数进行调整以提高其控制精度。
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.
给出了该自适应网络的结构，在此基础上给出了网络权值的修正算法，即综合最陡下降法和最小二乘法得到的一种混合学习算法。
The structure of ANFIS is proposed. Then a mixed learning arithmetic based on back promulgate and least-square arithmetic is presented to modify the network parameters.
储层密度预测技术是一种基于改进的混合智能学习算法的地震非线性预测方法。
The reservoir density prediction technique is a non-linear seismic prediction approach based on improved hybrid intelligent learning algorithm.
此外，提出用带输出误差死区的混合BP算法训练神经元分类器，提高了网络学习训练速度和分类准确性。
Further, a hybrid BP algorithm with dead interval of error is derived for training the neural classifier in order to increase training speed and classification accuracy.
该混合算法包括优选聚类算法和新型二阶学习算法。
The hybrid algorithm includes an optimal selection cluster algorithm and a second-order algorithm.
利用动态学习率改进BP算法，建立了混合神经网络模型。
A mixed NN model is constructed using BP algorithm improved with dynamic learning rate.
算法基于混合模体模型学习，采用贪心策略，通过似然度最大化，逐次将新的模体加入到混合模型中。
Based on mixture motifs model learning through likelihood maximization, a greedy strategy that adds sequentially new motif to a mixture model is employed.
算法基于混合模体模型学习，采用贪心策略，通过似然度最大化，逐次将新的模体加入到混合模型中。
Based on mixture motifs model learning through likelihood maximization, a greedy strategy that adds sequentially new motif to a mixture model is employed.
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