l network造句

• 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网络功能? ? “流”技术对课件的各章节分别进行网络打包。
• 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:叙述了人工神经网络的特征及其在专家系统中的应用，讨论了人工神经网络专家系统的优缺点，并进一步描述了其前景和意义
• 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:提出了一种由人工神经网络与线性arx模型相结合的集成模型，给出了其辨识训练方法.以此模型为基础，提出了一种多变量非线性预测控制算法.它利用线性预测控制的成果，得到一解析式的非线性优化控制输入，避免了通常非线性模型(包括普通人工神经网络模型)预测控制所需的在线数值寻优计算，节约了在线计算时间，提高了算法的可靠性和稳定性.进一步给出了在cstr反应器上的仿真实验结果