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It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described

基于边界元与有限元耦合的地震动模拟程序。能简单有效的解决地震作用下地表位移反应问题(Based on boundary element and finite element coupled to ground motion simulation program. Can be simple and effective solution surface displacement response under earthquake problem)

GUI senial cuadrada matlab

三电平逆变器的仿真研究，可观察相电压，线电压，负载侧电流等，作为三电平初学者资料(Three-level inverter simulation study, observation phase voltage, line voltage, load-side current, as a three-level beginner information)

异步电机适量控制的仿真，并用卡尔曼滤波做了无速度传感器(Simulation of the appropriate amount of asynchronous motor control, and using Kalman filter to make a speed sensor)

matlab在物理化学科学的应用，有相关的统计分析和聚类模型(matlab in physical and chemical science and application of relevant statistical analysis and clustering model)

智能天线设计技术及仿真 很好的一本书(Smart antenna design and simulation of a very good book)

Characteristics of the closed one-dimensional object 2

基于熵权的水资源短缺风险模煳综合评价模型及应用(Entropy-based model of water shortage risks burnt comprehensive evaluation model and application)

图像滤波图像滤波图像滤波图像滤波图像滤波(lvbo)