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- Based on gradient descent rule, the BP( Back Propagation) algorithm is a local optimization algorithm. bp算法基于梯度下降原理,是一種局部尋優(yōu)算法。
- The back propagation (BP) neural network model of 5-degree of freedom (DOF) upper limb rehabilitant robot was built. 摘要建立了5自由度上肢康復機器人的BP神經(jīng)網(wǎng)絡(luò )控制模型。
- Through applying an improved BP(back propagation) algorithm to city consume,a BP model is built. 針對城市消費預測問(wèn)題;應用一種改進(jìn)的BP算法;建立了相應的BP網(wǎng)絡(luò )模型;并設計了基于BP神經(jīng)網(wǎng)絡(luò )的城市消費預測系統.
- The model used multiple stepwise regression method and back propagation method independently. 模型分別采用多元逐步回歸方法和反向傳播方法。
- The NN controller is trained with evolutionary computation and back propagation. 進(jìn)化算法和反向傳播被用于神經(jīng)網(wǎng)絡(luò )的訓練。
- The back propagation(BP) neural network model of 5-degree of freedom(DOF) upper limb rehabilitant robot was built. 建立了5自由度上肢康復機器人的BP神經(jīng)網(wǎng)絡(luò )控制模型。
- The author puts forward an outline on evaluation of the storehouses and takes back propagation(BP) modes as an example. 提出了評價(jià)的基本思路,構建了評價(jià)的反向誤差傳播(BP)模型。
- To overcome those difficulties, we suggest the multiplayer perceptron trained by a back propagation as our recognizer. 我們在此建議使用利用倒傳遞網(wǎng)路訓練的多層次認知元來(lái)克服這個(gè)困難。
- Lincoln W L,Skrzypek J.Synergy of Clustering Multiple Back Propagation Networks.NIPS 2,1991, San Mateo, CA: 650-657. 王迎春;耿長(cháng)福;一種具有較強泛化能力的神經(jīng)網(wǎng)絡(luò )模型研究與應用;航天控制;2(2002)6-11.
- BP (Back Propagation) neural network models are applied to the nonlinearity compensation of sensors in this paper. 討論了BP神經(jīng)網(wǎng)絡(luò )模型在傳感器非線(xiàn)性補償中的應用。
- In this paper,the back propagation algorithm of a multilayer feedforw ard neural network was defined as BP algorithm? 利用前向多層神經(jīng)網(wǎng)絡(luò )的反向傳播算法,即BP算法。
- A new nonlinear BSS approach is developed by applying Edgeworth expansion and adaptive cumulant estimation into information back propagation algorithm. 將Edgeworth展開(kāi)代入信息后向傳輸算法中,通過(guò)一種新的自適應累積量估計方法,克服了原算法指出的Edgeworth展開(kāi)在盲信號分離中的缺限。
- Kruschke, J. K. "Human Category Learning: Implications for Back Propagation Models." Connection Science 5 (1) (1993): 3-37. 人類(lèi)類(lèi)別學(xué)習:指向退后的繁殖模式〉,《連結科學(xué)》第五卷第1期(1993年)3-37頁(yè)。
- In this paper, a back propagation (BP) algorithm based multi-layer perceptron model was proposed to discriminate thermophilic and mesophilic proteins. 摘要采用誤差反傳(BP)算法的多層感知機模型,對嗜熱蛋白和常溫蛋白進(jìn)行模式識別。
- It learns the weighting value based on the difference between the ideal output and the actual output, and then modifies the weighting value via back propagation. 而當學(xué)習權值時(shí),卻是根據理想輸出與實(shí)際的誤差,由前向后逐層修改權值(Back Propagation)。
- Taking the evaluation criterion of lake nutrient states as sample pattern, the network was trained in the light of learning rule of Error Back Propagation network. 將湖泊營(yíng)養狀態(tài)評價(jià)標準作為樣本模式提供給網(wǎng)絡(luò ),按照誤差逆傳播網(wǎng)絡(luò )的學(xué)習規則對網(wǎng)絡(luò )進(jìn)行訓練,經(jīng)過(guò)39925次學(xué)習后,網(wǎng)絡(luò )達到預先給定的收斂標準。
- At present,Back Propagation(BP) is the most widely used optimization techniques for training neural networks,but it has limited ability to find global solutions. 目前廣泛應用于神經(jīng)網(wǎng)絡(luò )優(yōu)化的方法是反向傳播(Back Propagation,BP),但是BP神經(jīng)網(wǎng)絡(luò )的全局搜索能力很有限。
- Based on empirical mode decomposition (EMD) and back propagation (BP) neural network, a new method is proposed to identify flow pattern of oil-gas two-phase flow. 基于經(jīng)驗模態(tài)分解(empirical mode decomposition,EMD)和BP神經(jīng)網(wǎng)絡(luò ),提出了油氣兩相流流型辨識的新方法。
- Soon tired of the constraint of military life. 很快厭倦了軍事生活的約束
- The model and learning algorithms of BP(Error Back Propagation)network,which is widely applied,is recommended,and RBF(Radial B asis Function)is simply recommended contrastively. 本文首先介紹了神經(jīng)網(wǎng)絡(luò )中應用最為成熟廣泛的BP網(wǎng)絡(luò )的模型及其學(xué)習算法 ,并簡(jiǎn)單對比介紹了RBF網(wǎng)絡(luò )。