update formula meaning in Chinese
校正公式
Examples
- In this thesis , by using a modified bfgs update formula , we develop a modifie d structured bfgs ( mbfgs ) method
本文运用修正bfgs ( mbfgs )方法，构造一个求解非线性最小二乘问题的修正结构化bfgs ( mbfgs )公式。 - However , some of them are restrictive . for some of these methods , the convergence is not known in this paper , based on a modified bfgs update formula proposed by li and fukushima , we propose a modified bfgs method for solving equality constrained optimization
本文在li - fukushima提出的求解无约束问题的修正bfgs公式的基础上，对求解等式约束问题的sqp算法，提出一个保证qp子问题的目标函数的hessian阵的正定性的修正方案。 - We analyze the classifying results based on the fuzzy text classifying , think the wrong classifying results can be divided into two styles , and we propose a subordinative degree update algorithm aim at the two instances . combined the nizzy semantic relationship classifying algorithm , we propose the gradual classifier construction algorithm through checkouting and correcting the wrong results constantly with the update formula .
在模糊文本分类的基础上，对分类结果进行了分析，将分类错误归结为两种类型，并针对这两种情况提出了隶属度更新算法，结合模糊语义关联度的分类算法提出了运用更新公式不断对分类结果进行校验纠错进而逐渐地构造分类器的算法。 - The principles of soft decoding and message passing are discussed . based on normal graph , the update formulas for message passing are derived and further the optimality of message passing algorithm for cycle - free graphs is proved . finally , the issues affecting message passing in graphs with cycles are analyzed
介绍了软判决译码和消息传递的基本思想；基于normal图，推导了消息传递算法的迭代公式，论述了无环图上消息传递算法的最优性，并分析了影响有环图上消息传递的因素； 3 - Firstly , on the basic of normal error back propagation algorithm ( bp a1gorithm ) , the model was added the inertia impulse item in the updating formula for weight , and then let learning rate and inertia parameter adjust ll self - adaptively , so the improved bp algorithm ( improved bp algorithm , ibp algorithm ) formed
首先，该模型在误差反向传播算法( bp算法)的基础上，在网络权值更新公式中添加惯性冲量项，并对学习率和惯量因子进行自适应调整，从而形成bp改进算法( improvedbp算法，简称ibp算法) 。