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assignmentutor-lab™ 为您的留学生涯保驾护航 在代写随机控制Stochastic Control方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写随机控制Stochastic Control代写方面经验极为丰富，各种代写随机控制Stochastic Control相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|随机控制代写Stochastic Control代考|Simulation and Analysis of the Algorithm

In order to study the property of the improved algorithm, the different performances are compared between the standard PSO and the improved PSO (mPSO) for Benchmark functions, which adopt linear decreased inertia weight coefficient. The optimal contrast test is performed on the common functions as shown in Table 1. For each algorithm, the maximum evolution generation is 3000 , the number of the particles is 30 and the dimension is 10, 20 and 30 respectively, where the dimension of Schaffer function is 2 . As for the inertia weight coefficient $w$, the initial value is $0.9$ and the end value is $0.4$ in the PSO algorithm, while in the $\mathrm{mPSO}$ algorithm, the value of $w$ is fixed and taken to 0.375.The optimum point of the Rosenbrock function is in the position $X=1$ in theory, while for the other functions, the optimum points are in the position $X=0$ and the optimum value are $f(x)=0$. The 50 different optimization search tests are performed on different dimensions of each function. The results are shown in Table 2, where the parameter Avg/Std refers to the average and variance of the optimal fitness value respectively during the 50 tests, iterAvg is the average number of evolution, Ras is the ratio of the number up to target value to the total test number. The desired value of function optimization is set as $1.0 \mathrm{e}-10$, as the fitness value is less than $10 \mathrm{e}-10$, set as 0 .

As shown in Table 2, except for the Rosenbrock function, the optimization results of the other functions reach the given target value and the average evolutionary generation is also very little. For the Schatter function, the optimization test is performed on 2-dimension, while for the other functions, the tests are performed on from 10 dimensions to 30 dimensions. Compared with the standard PSO algorithm, whether the convergence accuracy or the convergence speed of the $\mathrm{mPSO}$ algorithm has been significantly improved, and the mPSO algorithm has excellent stability and robustness.

## 统计代写|随机控制代写Stochastic Control代考|BP Neural Network

Artificial Neural Network (ANN) is an engineering system that can simulate the structure and intelligent activity of human brain, which is based on a good knowledge of the structure and operation mechanism of the human brain. According to the manner of neuron interconnection, neural network is divided into feedforward neural network and feedback neural network. According to the hierarchical structure, it is separated into single layer and multi-layer neural network. In terms of the manner of information processing, it is separated into continuous and discrete neural network, or definitive and random neural network, or global and local approximation neural network. According to the learning manner, it is separated into supervision and unsupervised learning or weight and structure learning. There are several dozens of neural network structures such as MLP, Adaline, BP, RBF and Hopfield etc. From a learning viewpoint, the feedforward neural network (FNN) is a powerful learning system, which has simple structure and is easy to program. From a systemic viewpoint, the feedforward neural network is a static nonlinear mapping, which has the capability of complex nonlinear processing through the composite mapping of simple nonlinear processing unit.
As the core of feedforward neural network, the BP network is the most essential part of the artificial neural network. Owing to its clear mathematical meaning and steps, BackPropagation network and its variation form are widely used in more than $80 \%$ of artificial neural network model in practice.

## 有限元方法代写

assignmentutor™作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

assignmentutor™您的专属作业导师
assignmentutor™您的专属作业导师