充分逼近 meaning in Chinese
sufficient approximation
Examples
- The five section : the cmac neural network will approach any complicated nonlinear relationship sufficiently . the network could study some unknown systems
五、 cmac神经网络可以充分逼近任意复杂的非线性关系，可学习和适应不知道或不确定的系统。 - A neural network ( nn ) is a model with high non - linearity , which is able to uniformly approximate any sophisticated nonlinear relationships in any accuracy . so in recent years , there has been much activity in how to apply nn to system identification
神经网络是一种高度非线性的模型，具有充分逼近任意复杂非线性关系的能力，因此近年来，基于神经网络的系统辨识技术成为辨识领域的研究热点之一。 - The equations derived are more complicated if more precise model is employed for high accuracy . the technique , which does n ' t need to have an explicit model - calibration based on neural networks implicit vision model , is more effective . since bp neural network can implement any nonlinear relationship from input to output and need n ' t to model , and the classical stereo vision approach based on explicit model are very complicated , an algorithm of stereo vision based on bp neural networks implicit vision model is proposed
利用神经网络可以充分逼近任意的非线性关系且无须精确建模的特点，针对传统的立体视觉方法过程繁琐，对安装精度要求高的不足，本文提出了一种基于bp神经网络隐式视觉模型的立体视觉方法，该算法实施起来比较简便；针对已有的像差修正算法计算过程复杂的不足，提出了一种基于bp神经网络的修正成像误差的算法；针对具有共面特征的点的三维重构的应用，提出了一种基于径向基函数网络的二维平面测量算法。