Simulation control tests are carried out with this model and the shift schedule obtained from the tests are almost consistent with the given shift schedule , proving that applying neural networks to automatic shift of loaders is liable 用此模型进行仿真控制试验，所得挡位与给定的换挡规律基本保持一致，说明利用神经网路控制装载机自动变速器换挡是可行的。
As for the shortcomings in the single neural net or synthetic neural net based on decomposition , and existing way , integrated neural network based on style of information and different eigenvector is adopted in this paper 鉴于一般的单子神经网和基于分解的组合神经网的不足，以及目前的线损分析方法的不足，本文采用基于信息类型和不同特征向量相组合的集成神经网进行分析。
Non - linear dynamical systems and chaotic phenomena . random processes and diffusion . ising model and lattice gas . quantum systems and electronic structures . percolation , fractal and self - similarity . neural network and genetic algorithm 非线性动力系统与混沌现象、随机过程和扩散现象、易幸模型与格子气体的统计模拟、量子系统与电子结构、展透、碎形与自我类似、类神经网路与基因演算法。
Lee , c . m . , w . k . wong , and h . s . fong , automatic character recognition for moving and stationary vehicles and containers in real - life images , proc . international joint conference on neural networks ijcnn 99 , washington , d . c . , july , 1999 李春茂博士，黄永健及方克信博士于1999年7月在华盛顿特区举行的人工神经网路国际联合会议ijcnn 99特刊中发表即时图像中移动和固定车辆及集装箱的字元自动识别专题论文。
Topics covered include : applications of rule chaining , heuristic search , logic , constraint propagation , constrained search , and other problem - solving paradigms , as well as applications of decision trees , neural nets , svms and other learning paradigms 涉及的主题包括：规则链的应用、启发式搜索、逻辑、限制传递、条件限制的搜寻和其他问题解决范例，另外还有决策树的应用、神经网路、支援向量机（ svm ）以及其他学习范例。
