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- back-propagation（BP）算法 back-propagation (BP) algorithms
- 本文引入人工神经网络之BP网络（Back-Propagation），建立了锅炉的运行优化模型。 In this paper, a Boiler Operation Optimizing model is built by using BP (Back-Propagation) Neural Network.
- 运行计算机中央处理器：英特尔赛杨466MHz. 操作系统：微软公司视窗98. 网络算法：误差反向传播算法(back propagation, BP算法)，使用的传递函数是sigmoid函数。训练容许误差定为0.1。 CPU of operating computer: Intel Celeron 466MHz. operating system: Microsoft Windows98. network algorithm: Back Propagation (BP). transfer function: sigmoid function. The allowed practical corrigendum is 0.1.
- 算法设计 algorithm design
- 算法设计与分析 The Design and Analysis of Algorithm
- n-back n-back
- 控制算法 control algorithm
- n-back任务 n-back task
- 基于改进的SIR模型的基础上,讨论并研究了脉冲作用下的蠕虫传播模型(the Worms Propagation with Impulsive Control,WPIC model)。 we present a modification of SIR model to study worm propagation. The dynamics of this model under pulse control are analyzed which we referred to as the Worms Propagation with Impulsive Control (WPIC) model.
- G-BP算法 G - BP algorithm
- Back-test检验 normal distribution test
- 聚类算法 clustering algorithm
- Back-fitting技巧 back-fitting technique
- 启发式算法 heuristic algorithm
- 改进BP算法 improved BP algorithm
- 迭代算法 iterative algorithm
- 最优控制算法 algorithm for optimal control
- 渐缩算法 knapsack algorithm
- 调度算法 scheduling algorithm
- Ｋ－Ｐ算法 K-P calculation
