非线性函数

• The properties of the wavelet networks are analyzed . according to the approximation ability of wavelet networks , the nonlinear static system and the nonlinear dynamic system can be identified
  分析了小波网络的性能，利用小波网络的非线性函数逼近能力，对非线性静态系统和非线性动态系统进行辨识。
• Ga is widely applied because of its simple structure , strong robustness and excellent capability of solving nonlnear function optimization compared to those traditional search algorithms
  近几年来由于其结构简单、鲁棒性强，能很好求解以往传统搜索算法无法解决的非线性函数优化等问题，得到广泛应用。
• However , as the mle requires obtaining the parameters of the high order non - linear likelihood function when it reaches the global maximum , this makes the mle approach has very huge calculation burden
  但是，由于最大似然方法需要求解一个高度非线性函数在取得最大值时的参数，使得该方法的计算量是十分巨大的。
• On the basis of this study , a simulation example of nonlinear function model is shown in the end . the simulation shows that the algorithms we propose are efficient and correct
  在上述研究的基础上，我们在文章的最后给出一个逼近非线性函数的仿真实例。在这个仿真实例中，大家可以看出我们所给出得算法是正确和可行的。
• At present , there are several methods for non - linear function realization . but these algorithms commonly need to engross larger space , or have long reaction time . so they are unsuitable for hardware realization
  对于非线性函数，目前有多种实现方式，但这些算法一般占用空间都较大，或是反应时间长，不适合用硬件实现。
• The artificial neural network is used to tackle an ill - posed problem of the parameter identification and to approximate nonlinear function relationship between the vibration responses of the hydraulic generator and model parameters
  利用人工神经网络具有解决参数识别反问题不适定性的能力，建立了水轮机系统响应与模型参数之间近似的非线性函数关系。
• The famous mallat decomposition algorithm is applied . the correlations between the neighboring wavelet transform coefficients are utilized to restrain noises and the local maxima of the coefficients provide information of image boundaries
  并利用相邻尺度间小波系数的相关性和一种非线性函数进行噪声抑制，同时利用小波系数的模极大值来提取边缘点。
• In the course of the practicality , the professional knowledge and experiences , or the capability of nonlinear function approximation are adopted in fuzzy modeling , then genetic arithmetic is applied to optimize the network
  实际过程中采用了专家知识和经验进行模糊建模，或利用神经网络的非线性函数逼近能力建模，然后应用遗传算法对网络进行优化的技术。
• When the nonlinear function of the system is bounded or satisfies some kind of linear increasing assumption , we prove the states of system being in a compact set , and can be expressed by rbf nn and a model error
  上述设计满足以下控制目标：首先证明状态落入一紧集中，则非线性函数可由网络模型及一建模误差表示出来，然后利用反债控制及调整参数的算法，使得0 ）
• Paper [ 72 ] goes further in finding more effctive nonlinear function and wavelet function was selected to construct the controller . under the controller g the halo intensity was decreased to zero , the result is quite good
  文献[ 72 ]在选取更有效的非线性函数上作了进一步的探索并且取得了进展。该文选取小波函数构造控制器将束晕强度控制到零，达到较好的控制结果。