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遗传算法与Bp神经网络的集合应用，是我数学建模比赛时发表的论文，供大家参考-Bp genetic algorithm and neural network pool application of the mathematical modeling contest, I delivered papers for reference
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数学建模，借助MATLAB实现网络计算问题，包含行遍性问题，最短路径问题，最优截断切割问题,Mathematical modeling, the realization of network computing with MATLAB issues, including the issue of time lines, the shortest path problem, the issue of the optimal cut-off cut
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本文以双Pwm变换器为基础，分析论述了电力电子装置的整流、逆变和回馈状态的国内外发展状况。随着科学技术的发展，电力电子装置的低功率因数和高谐波污染已经成为电网的两大主要危害，因此提高系统功率因数便是电力电子技术的发展趋势，本文阐述了功率因数的定义，脉宽调制的种类以及电压
型PWM变换器的原理、控制方法等内容，比较了脉宽调制的各种类型，详细推导了三相电压型PWM变换器的数学建模，指出系统各种控制方法的优缺点，着重表达了二相调制脉宽空间矢量WPM的算法推导，选用了系统主控芯片，编写了系统软件程序
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在本讲义中，我们将着重讲述一些数学建模中常用的算法，包括神经网络算法、遗传算
法、模拟退火算法和模糊数学方法。用这些算法可以较容易地解决一些很复杂的，常规算法很难解决的问题。-In this lecture, we will focus on about a number of commonly used mathematical modeling algorithms, including neural network algorithm, genetic algorithm
Meth
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神经网络辨识不受非线性模型的限制,它依据被辨识系统的输入输出数据对,通过学习得到一个描述系统输入输出关系的非线性映射。给定一个输入,即可得到一个输出,而不需要知道输入输出之间存在着怎样的数学关系。这种自学习特点使得神经网络在解决复杂非线性问题方面具有其独特的优势。-Neural network identification of nonlinear model without restrictions, it was recognition system based on the input a
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本书着重介绍MATLAB在工程数据数学处理中应用的基础知识和计算方式，其内容涉及MATLAB主包和部分工具箱内容。本书另外涉及MATLAB系统的模糊逻辑工具箱的自适应神经网络模糊推理系统，对自适应神经网络模糊推理系统的数学原理、功能使用和程序调用进行了较详细的论述。-This book focuses on MATLAB mathematical treatment in the application of engineering data, the basic knowledge and m
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实体电路是有电路元件连接构成的，而其数学模型则是一组方程。基本网络支路关系和这些网络支路的支路关系构成网络模型。-Physical connection circuit is composed of a circuit element, and its mathematical model is a set of equations. Relations and the basic network slip slip slip between these networks constitute
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Focusing on the passive network, this paper analyzes
the discrete mathematical model and its control strategy of the
passive terminal of the VSC-HVDC system on the basis of the α-β
frame of axes. The method of the functioning-fuzzy-subset
inf
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GA-BP神经网络应用，应用于matlab 数学建模-GA- BP neural network application, the application in matlab mathematical modeling
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分析了电压型控制模式下的逆变器并网的电路结构和数学模型，提出了基于重复控制技术的光伏逆变器并网控制策略，仿真和实验结果表明方案满足逆变器并网要求。-Voltage control mode inverter grid circuit structure and mathematical model is proposed based on repetitive control technology photovoltaic inverter grid control strategy, simu
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In queueing theory, a discipline within the mathematical theory of probability, Buzen s algorithm (or convolution algorithm) is an algorithm for calculating the normalization constant G(N) in the Gordon–Newell theorem. This method was first proposed
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数学建模中基于matlab的神经网络算法-Mathematical modeling of neural network algorithm based on matlab
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The paper presents an efficient mathematical model
to anticipate the effects of a transversal impedance installation in
a bus of an electrical distribution network harmonic polluted, depending on the harmonic impedance seen in the respective sect
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国网笔试主要内容 1.综合能力
序号 类别 主要知识结构
1 综合类
言语理解
数理思维
判断推理
资料分析
2.专业知识 -The main content of a written national network. Comprehensive capabilities No. Category 1 Comprehensive knowledge structure mainly verbal comprehension and mathematic
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2014年数学建模网络赛赛题，只有ABC
三题-2014 Mathematical Modeling Network Magsaysay question, only ABC
Three Questions
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Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the train
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Acoustic detection of gunshots has many applications
in the field of security and military. This paper deals with
the detection of gunshots, using microphone sensor arrays placed
in different locations which are processed using MATLAB. The
ti
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In this paper, the objective is to improve the performance of a LTE-advanced heterogeneous network at cell edge. For this a new cooperative physical resource blocks (PRB) sharing scheme is proposed in a dual hoped LTE-Advanced network. An advanced ma
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Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly pe
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随后该书分为三部分，第一部分是应用数学和机器学习基础，当初步具有上述理论基础后，才算叩开深度学习的大门。第二部分是深层网络的现代实践。第三部分是深度学习的理论研究，适用于想要执果索因、深入学习神经网络内在原理的研究人员学习。(The book is divided into three parts, the first part is the application of mathematical and machine learning based. When initially with t
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