1.
The model has many characteristics, such as distinct reasoning, better generalization capabilities and so on.
该模型具有推理过程清晰,泛化能力好的特点。
2.
The novel algorithm can ensure great probability for global optimization.
该方法最大限度地保证了网络的泛化能力。
3.
The Generalization Ability of Weighted Fuzzy If-then Rules Based on Fuzzy Entropy Maximum;
基于最大熵原理的加权模糊规则泛化能力研究
4.
The Discussion on Improving Generalization Ability of a Feedforward Neural Network;
提高多层前向神经网络泛化能力的讨论
5.
Fuzzy Cluster Analysis Based on Extending Ability of BP Neural Network;
基于BP神经网络泛化能力的模糊聚类分析
6.
Generalization Error Research and Apply of Neural Network Ensemble
神经网络集成的泛化能力研究及其应用
7.
Research on Weight-Controlled Misclassification Algorithm with High Generalization
高泛化能力的权值控制误分类算法研究
8.
Relevance Vector Machine Regression Models for Complex Surface Fitting and Its Generalization Ability
复杂曲面拟合的相关向量机模型及其泛化能力
9.
A Modified Algorithm to Improve Generalization Ability of BP Neural Network
一种提高BP神经网络泛化能力的改进算法
10.
Research on PSO algorithm in neural network generalization
PSO粒子群算法在神经网络泛化能力中研究
11.
Classification and Generalization of the Load Model Based on Model Dynamic Responses
基于模型激励响应的负荷分类及泛化能力
12.
A Method of Improving Neural Network Ensemble System's Generalization Error
一种提高神经网络集成系统泛化能力的方法
13.
The method can availably solve the problems of bad training approximation and generalization.
该方法能有效地解决训练精度和泛化能力差的问题。
14.
So the generalization ability of the system is more important.
因此对于报价系统来说，系统的泛化能力显得尤为重要。
15.
Research on the Method for Improving the Generalization Ability of BP Neural Network Used in Textile Dyeing Color Matching
BP网络泛化能力改进方法在染色配色中的应用研究
16.
Application of Artificial Neural Network Model to Improve the Generalization Ability in Air Conditioning Load Prediction
泛化能力改善的神经网络方法在空调负荷预测中的应用
17.
It has pointed out that the generalization ability of neural network can be improved by using network optimization and regularization methods.
神经网络泛化能力的提高可通过神经网络结构的优化和正则化等方法加以实现。
18.
Support Vector Machine (SVM) , which based on Statistic Learning Theory, has the adaptive generation ability.
建立在统计学习理论基础之上的支持向量机具有和样本数相适应的最优泛化能力。