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l network中文是什么意思

  • l型網(wǎng)絡(luò)
  • l形四端網(wǎng)絡(luò)
  • l形網(wǎng)絡(luò)

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  • Secondly , utilize the " flow " technology of the authorwares . l network function , divide every chapter to some segments which suitable to running on the network
    其次,利用authorware5 . 1網(wǎng)絡(luò)功能? ? “流”技術(shù)對(duì)課件的各章節(jié)分別進(jìn)行網(wǎng)絡(luò)打包。
  • Abstract : the features of artificial neural network andits applications in expert system is described . the advantages and disadvantages ofartificial neura l network expert system to application prospects and significance arealso discu ssed . also d escribes its future and significance
    文摘:敘述了人工神經(jīng)網(wǎng)絡(luò)的特征及其在專家系統(tǒng)中的應(yīng)用,討論了人工神經(jīng)網(wǎng)絡(luò)專家系統(tǒng)的優(yōu)缺點(diǎn),并進(jìn)一步描述了其前景和意義
  • Abstract : an integrating model combining the artificial neura l network with the linear arx model and its identification method is proposed . based on that model , a multivariable nonlinear predictive control algorithm is persented . the algorithm employs the result of the linear predictive control , obtains explicit nonlinear optimal controlling inputs and doesn " t need on - line numerical optimizing which is necessary in general nonlinear model ( including ann model ) predictive control . that greatly decreases on - line computing consumption , strengthens the reliability of the algorithm and the stability of the system . the simulation results in cstr are shown
    文摘:提出了一種由人工神經(jīng)網(wǎng)絡(luò)與線性arx模型相結(jié)合的集成模型,給出了其辨識(shí)訓(xùn)練方法.以此模型為基礎(chǔ),提出了一種多變量非線性預(yù)測(cè)控制算法.它利用線性預(yù)測(cè)控制的成果,得到一解析式的非線性優(yōu)化控制輸入,避免了通常非線性模型(包括普通人工神經(jīng)網(wǎng)絡(luò)模型)預(yù)測(cè)控制所需的在線數(shù)值尋優(yōu)計(jì)算,節(jié)約了在線計(jì)算時(shí)間,提高了算法的可靠性和穩(wěn)定性.進(jìn)一步給出了在cstr反應(yīng)器上的仿真實(shí)驗(yàn)結(jié)果
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