xianxingshenjingwangluo2

前段时间在北大OJ平台上做的几个题目，主要用到几个知识点...(OJ platform some time ago at the university to do the subject ...)

networking work related to computer networks gives basic formula and examples to solve this

job shop scheduling problem

汽车牌照识别中车牌定位问题。车牌定位分为两步进行，首先对车牌进行初定位，对初定位后的车牌图像进行二值化、几何矫正，然后再精确定位车牌区域。同时，在matlab环境下仿真了汽车牌照识别，仿真结果表明，本文算法能很好的识别汽车牌照。(The problem of car license plate location. License plate location is divided into two steps, first at the beginning of vehicle license plate location, license plate on the positioning of the image at the beginning of two, the value of geometric correction, and then the accurate location of the license plate area. At the same time, in the MATLAB simulation environment of the vehicle license plate recognition, the simulation results show that, this algorithm can be a very good car license plate recognition.)

说明：  BP神经网络算法，BP(back propagation)神经网络是一种按照误差逆向传播算法训练的多层前馈神经网络，是应用最广泛的神经网络。(BP (back propagation) neural network is a kind of multilayer feedforward neural network which is trained according to the error back propagation algorithm. It is the most widely used neural network.)

说明：  利用机器学习的支持向量机算法对多类样本进行类别划分，达到了较好的分类效果。(Using the support vector machine algorithm of machine learning to classify the multi class samples, it achieves a better classification effect.)

说明：  遗传算法在雷达成象方面的应用,主要是insar干涉定标解决敏感度句镇病态性问题(Genetic algorithm in radar imaging applications, mainly InSAR calibration solution interfere with the town of morbid sensitivity to the issue of sentence)

Paper Abstract – An adaptive control of Distributed Generation (DG) to provide predictable active power output at the primary distribution substation is described. Often, distribution networks accommodate renewable energy different energy sources and thus using different energy conversion sources. As the amount of generation that comes intermittent renewable sources (e.g. wind energy) increases, network operators start to concern with the uncertainty of generation. However, when the power output intermittent renewable sources is predicted, the network operators can reduce the operational costs of the network and the DG owners may go on the market. Thus, our challenge with this work was to develop an algorithm which can predict the active power output the aggregation of wind and biomass energy at the primary distribution substation of a typical distribution network. Wind and biomass energy plant are onto the same distribution network but not necessarily onto the same feeder.

有关心电去噪处理的论文，不错的文章，写的很仔细(Are concerned about the power denoising papers, good article, very carefully written)

阵列信号处理中改进型的盖氏圆信源数估计详细程序(The number of the Gerschgorin source array signal processing, improved estimate detailed procedures)