例句與造句

1. neural network training algorithm based on particle swarm optimization
   神經(jīng)網(wǎng)絡(luò)基于粒子群優(yōu)化的學(xué)習(xí)算法研究
2. 2 . standard samples that are needed for neural network training are made
   2.制作神經(jīng)網(wǎng)絡(luò)訓(xùn)練所需的標(biāo)準(zhǔn)樣本。
3. neural network training for system identification using a least square method
   神經(jīng)網(wǎng)絡(luò)用于系統(tǒng)辨識的一種最小二乘法
4. neural network trained with particle swarm algorithm and its application to nonlinear system identification
   粒子群神經(jīng)網(wǎng)絡(luò)及其在非線性系統(tǒng)辨識中的應(yīng)用
5. the neural network training algorithm is improved, which is based on instantaneous optimal control method, taking into consideration of the energy of earthquake
   摘要改進一種基于瞬時最優(yōu)控制的神經(jīng)網(wǎng)絡(luò)訓(xùn)練算法。
6. It's difficult to find neural network training in a sentence. 用neural network training造句挺難的
7. the application of hybrid algorithm which combines improved genetic algorithm and error back-propagation algorithm in artificial neural network training is studied first
   首先研究了將改進遺傳算法和誤差反向傳播(bp)算法相結(jié)合的混合算法來訓(xùn)練人工神經(jīng)網(wǎng)絡(luò)。
8. the advanced and efficient algorithm variable scale method for learning is used in bp neural network training . finally the control simulation results are given
   在bp網(wǎng)絡(luò)的訓(xùn)練過程中，采用了自調(diào)整的學(xué)習(xí)算子以加速收斂得到較好的學(xué)習(xí)效果，最后給出了仿真結(jié)果。
9. finally, in order to solve the problem of getting the sample of input / output, a neural networks training algorithm is proposed that is based on instantaneous optimal control method
   針對訓(xùn)練樣本對難以獲取的問題，提出了基于瞬時最優(yōu)控制神經(jīng)網(wǎng)絡(luò)的建筑結(jié)構(gòu)主動控制。
10. the fault diagnosis example shows that the difficulty of neural network training is diminished and the fault diagnosis accuracy can reach more then 99 % when faults overlaps exist
    通過診斷示例表明，該方法在故障類存在重疊時，降低了神經(jīng)網(wǎng)絡(luò)的訓(xùn)練難度，故障診斷的正確率達到99%以上。
11. in parameter analysis predict module includes the normalization method and principal component analysis, etc . make the neural network training efficiency and improve the speed
    在參數(shù)分析預(yù)測模塊包中對參數(shù)進行了歸一化及主元分析等項預(yù)處理，使神經(jīng)網(wǎng)絡(luò)的訓(xùn)練效率及預(yù)測結(jié)果的速度、穩(wěn)定性和精度得到了提高。
12. a main method to estimate the effect of neural network training depends on the forecast precision of the test samples, but there is no a proper method to select test samples from the sample set
    研究內(nèi)容主要是神經(jīng)網(wǎng)絡(luò)訓(xùn)練過程中樣本分配問題。網(wǎng)絡(luò)訓(xùn)練效果的評價依賴于樣本分配方式，而目前進行樣本分配主要是依靠經(jīng)驗和技巧的方法存在很大隨機性。
13. secondly, this paper proposes a neural network training scheme based on the linear least-square method through the characteristic analysis of multi-layered feed forward neural networks, and then applies that to identify a pmsm model
    接著通過對多層前向神經(jīng)網(wǎng)絡(luò)特點的分析，給出了一種基于線性最小二乘法的神經(jīng)元網(wǎng)絡(luò)訓(xùn)練方案，并把它應(yīng)用于永磁同步電機模型的辨識中。
14. finally, most supervised learning neural networks train themselves through minimizing mean squared error . but when the neural network models trained in this way are used to do forecasting, the existence of outliers result in great imprecision
    最后，大多數(shù)監(jiān)督學(xué)習(xí)神經(jīng)網(wǎng)絡(luò)是通過最小化訓(xùn)練集的均方差來訓(xùn)練網(wǎng)絡(luò)，而野值的存在導(dǎo)致這種訓(xùn)練的神經(jīng)網(wǎng)絡(luò)模型在預(yù)測時會產(chǎn)生極大的不精確性。
15. enhance the production efficiency of high performance concrete fabrication . the software supplies some important fuction blocks, such as data management, neural network training, neural network chocking, performance predicting and costs calculating
    最后,針對在高性能混凝土配制方面的應(yīng)用,利用可視化編程語言delphi編制了應(yīng)用軟件,軟件具有數(shù)據(jù)管理、網(wǎng)絡(luò)訓(xùn)練、網(wǎng)絡(luò)檢驗、性能預(yù)測和成本計算等功能。
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