1) G-BP algorithm
G-BP算法
1.
Research and application of the data mining method based on G-BP algorithm
基于G-BP算法的数据挖掘方法研究及应用
2) BP algorithm
BP算法
1.
Research on Bit Pressure Control System of Auto-drilling Based on BP Algorithm;
基于BP算法的自动送钻钻压优化控制技术研究
2.
The application of modified BP algorithm used in NO_X air pollution of WuHu cityl;
改进的BP算法在芜湖市NO_X大气污染中的应用
3.
Amelioration of BP algorithm and its application in expert system for electric arc furnace steel-making controlling;
BP算法的改进及其在电弧炉炼钢控制专家系统中的应用
3) BP arithmetic
BP算法
1.
Research on fuzzy neural network control of inverter spot-welding power supply based on BP arithmetic;
基于BP算法的逆变点焊电源模糊神经网络控制研究
2.
BP arithmetic FNN and an assistant prediction modelof sintering burn-through point;
BP算法的模糊神经网络及烧结终点辅助预测模型
3.
The Research of AHP Based on BP Arithmetic;
基于BP算法的层次分析法研究
4) Back-propagation algorithm
BP算法
1.
Research of particle swarm optimization algorithm comparison with back-propagation algorithm and genetic algorithm
粒子群优化算法与BP算法和遗传算法的比较研究
5) Back Propagation Algorithm
BP算法
1.
In this paper, one four-layer fuzzy neural network using the Back Propagation Algorithm and fuzzy logic was built to study the nonlinear relationships between different physical- chemical factors and the denseness of red tide algae, and to anticipate the denseness of red tide algae.
为研究各种理化因子与赤潮藻类浓度间的非线性对应规律和有效预测赤潮藻类浓度,构建了基于BP算法的一个四层模糊神经网络模型。
2.
The advantages and disadvantages of Back Propagation Algorithm (BP) and Genetic Algorithm (GA) are analysed, combination of the two algorithms forms GA-BP.
分析了遗传算法(GA)和BP算法的优缺点 ,将GA算法与BP算法有机地结合 ,形成了遗传BP算法。
3.
The back propagation algorithm of neural network is described in detail.
介绍了人工神经元网络的基本原理和 BP算法神经网络 。
6) Back Propagation Algorithm
BP 算法
1.
In this paper we compared the particle swarm optimization(PSO)algorithm with the back propagation algorithm and the ge- netic algorithm,then we discussed about the theory of PSO,and we used these algorithms to train a muhi-layer artificial,neural net- work(ANN)model of vehicle fault diagnosis with few samples and tested the effect of these three different ANN.
比较了 BP 算法、遗传算法、粒子群优化(PSO)算法的特点,详细讨论了 PSO 原理,并运用3种算法使用少量汽车发动机故障诊断样本训练前馈型神经网络,采用扩展样本检验3种算法训练神经网络的使用效果。
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性质：学名苯乙烯-2-乙烯吡啶共聚物。微黄色粉末或透明小颗粒晶体。无臭，无味。不溶于水，溶于酸、乙醇、丙酮、氯仿。有抗水、防潮性能，适用于多种药片的包衣等。
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CAS号：
性质：学名苯乙烯-2-乙烯吡啶共聚物。微黄色粉末或透明小颗粒晶体。无臭，无味。不溶于水，溶于酸、乙醇、丙酮、氯仿。有抗水、防潮性能，适用于多种药片的包衣等。
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