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- back-propagation（BP）算法back-propagation (BP) algorithms
- 本文引入人工神經(jīng)網(wǎng)絡(luò )之BP網(wǎng)絡(luò )（Back-Propagation），建立了鍋爐的運行優(yōu)化模型。In this paper, a Boiler Operation Optimizing model is built by using BP (Back-Propagation) Neural Network.
- 運行計算機中央處理器：英特爾賽楊466MHz. 操作系統：微軟公司視窗98. 網(wǎng)絡(luò )算法：誤差反向傳播算法(back propagation, BP算法)，使用的傳遞函數是sigmoid函數。訓練容許誤差定為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.
- 算法設計algorithm design
- 算法設計與分析The Design and Analysis of Algorithm
- n-backn-back
- 控制算法control algorithm
- n-back任務(wù)n-back task
- 基于改進(jìn)的SIR模型的基礎上,討論并研究了脈沖作用下的蠕蟲(chóng)傳播模型(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檢驗normal distribution test
- 聚類(lèi)算法clustering algorithm
- Back-fitting技巧back-fitting technique
- 啟發(fā)式算法heuristic algorithm
- 改進(jìn)BP算法improved BP algorithm
- 迭代算法iterative algorithm
- 最優(yōu)控制算法algorithm for optimal control
- 漸縮算法knapsack algorithm
- 調度算法scheduling algorithm
- Ｋ－Ｐ算法K-P calculation
