Rev_1_code

太阳电池组件生产厂家通常仅为用户提供产品在标准测试条件(STC)下测出的Isc、Voc、Im、Vm、Pm值,本程序根据这些仅有的工厂测试数据在工程精度下复现光伏电池或之阵列在不同日射、不同温度下的I—V特性。(Solar module manufacturers generally only provide users with products under standard test conditions (STC) measured Isc, Voc, Im, Vm, Pm value, this program is just a plant based on these test data reproduced in the engineering precision PV battery or the array of different insolation, I-V characteristics at different temperatures.)

4PAM和8PAM在AWGN信道下载波调制的性能分析(4PAM and 8PAM in AWGN channel wave modulation performance analysis download)

various filters using matlab mfile

本书系统地介绍了生物医学数据分析的相关基础知识和主要的分析方法，并通过 MATLAB 对大量的 生物医学数据分析的实例进行实现。全书共分为 7 章：第 1 章绪论；第 2 章 MATLAB 应用基础；第 3 章 医用数学基础及其 MATLAB 实现；第 4 章多变量分析；第 5 章时间序列分析；第 6 章生物信息学基础； 第 7 章生物医学数据的检索方法。 (This book introduces the relevant basic knowledge and analysis of biomedical data analysis, and analysis of biomedical data through MATLAB instance implemented. The book is divided into seven chapters: Chapter 1 Introduction Chapter 2 based on MATLAB applications Chapter 3 Medical mathematical foundation and its MATLAB implementation Chapter 4 multivariate analysis Chapter 5, time series analysis Chapter 6 bioinformatics Chapter 7 of the foundation biomedical data retrieval methods.)

利用BBO算法来优化网络负载均衡，达到很好的效果，比传统方法优越。很适合正在用智能算法优化网络映射的学者。(BBO algorithm to optimize the use of network load balancing, to achieve good results, superior to traditional methods. It is optimized for network mapping scholars intelligent algorithms.)

说明：  该程序代码是用于构造非平稳的信号的代码，其统计特性是随时间而变的。(This program code is used to construct non-stationary signals)

车间作业调度的模拟退火遗传算法，可以用于一般生产性过程中的工序调度应用 (Job shop scheduling simulated annealing genetic algorithm)

PLS的种子点方法脚本，参考文献：Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，(seed PLS Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，)

A four-wheel Vehicle model by Matlab Simulink

说明：  支持向量机源代码、实例讲解，以及其他智能优化算法对支持向量机的参数进行优化(Support vector machine source code, examples, and other intelligent optimization algorithms to optimize the parameters of support vector machines)