Description: MATLAB是一种用于科学工程计算的高效率高级语言。MATLAB的基本数据单位是矩阵，它的工具箱已经延伸到了科学研究和工程应用的许多领域。它在诸如一般数值计算、数字信息处理、系统识别、自动控制、振动理论、时序分析与建模、优化设计、神经网络控制、动态仿真系统、金融管理、小波分析、特殊函数和图形领域表现出一般高级语言难以相比的优势，并可以方便地用于几乎所有的科学和工程计算的各方面。-MATLAB is a science and engineering computing for efficient high-level language. MATLAB' s basic data unit is the matrix, and its toolbox has been extended to scientific research and engineering applications in many fields. It is in such general numerical calculation, digital information processing, system identification, automatic control, vibration theory, time series analysis and modeling to optimize design, neural network control, dynamic simulation system, financial management, analysis, special functions and graphics in the field show generally difficult to match the advantages of high-level language, and can be easily used in almost all scientific and engineering computing aspects. Platform: |
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Description: 算法大全 全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。
主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以及附录-Complete collection of algorithm including 30 chapters and 2 appendices: linear programming, nonlinear programming, dynamic programming, graph and networks, queuing theory, game theory, the level of analysis, interpolation and fitting, statistical description and analysis of data , analysis of variance, regression analysis, differential equations modeling, steady-state model, ordinary differential equation solution, difference equation model, Markov chain model, variational method model, neural network model, the numerical solution of partial differential equations, goal programming, fuzzy numerical model, modern optimization algorithms, time series models, storage theory, the optimization of economic and financial issues, production and service operations management in the optimization problem, gray system theory and its applications, multivariate analysis, partial least squares regression, and Appendix
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Description: 算法大全 全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。 主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以及附录-
Algorithm Daquan book in the 30 chapter and appendix (in MATLAB) summary of commonly used mathematical algorithms introduced. Include: linear programming, nonlinear programming, dynamic programming, maps and networks, queuing theory, game theory, the Analytic Hierarchy Process, interpolation and fitting, the statistical description and analysis of the data analysis of variance, regression analysis, differential equations built mode, steady-state model, the solution of ordinary differential equations, differential equation model, Markov chain model, the model of the variational method, neural network model, partial differential equations, numerical solution, goal programming, fuzzy numerical model, modern optimization algorithms, time series models stored on the economic and financial optimization problems, optimization problems in production and service operations management, the gray system theory and its applications, multivariate analysis, partial least squares regression and Appe Platform: |
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Description: MATLAB 代码
第1章 BP神经网络的数据分类——语音特征信号分类
第2章 BP神经网络的非线性系统建模——非线性函数拟合
第3章 遗传算法优化BP神经网络——非线性函数拟合
第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优
第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模
第6章 PID神经元网络解耦控制算法——多变量系统控制
第7章 RBF网络的回归--非线性函数回归的实现
....等58章(MATLAB code
The first chapter is BP neural network data classification -- speech characteristic signal classification
The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting
The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting
The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking
The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model
The sixth chapter is PID neural network decoupling control algorithm multivariable system control
The seventh chapter is the regression of RBF network the realization of nonlinear function regression
.........the last is 58 chapters) Platform: |
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