FDTD__2Dimension

multi-view spectral learning

HIGH DIMENSIONAL FEATURE REDUCTION VIA PROJECTION PURSUIT

Ant colony optimisation based segmentation algorithm

SMOTE algorithm code

BPSK modulation system not fully

说明：  离散傅里叶变换，开发环境是MATLAB。(Discrete Fourier Transform, the development environment is MATLAB.)

说明：  VC和matlab的教程，好用，放心下载，希望对大家有帮助(VC, and matlab tutorial, easy to use, secure download, we want to help)

-u"+u^2=x, 0<x<1 u(0)=0, u(1)=0

分析剖析器，深入的综述数据科学家和他们的工作是应用数据科学的方法到专业社区的结果。(Analyzing the Analyzers: An Introspective Survey of Data Scientists and their Work is the result of applying the methods of data science to our own professional community. )

In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased. The sizing and placement of DGs in the system must be optimal because a wrong choice has a negative impact on the system behavior. To solve this combinatorial problem, an algorithm known as Firefly algorithm is proposed in this paper. This is a meta-heuristic algorithm inspired by the behavior of fireflies flashing. The main objective of firefly flash is to act as a signaling system to attract other fireflies. Networks tested IEEE69-bus and IEEE33-bus are used to evaluate the effectiveness of this method. The results are compared with those obtained by genetic algorithm (GA) to IEEE69-bus, and Shuffled frog leaping algorithm (SFLA) for IEEE 33-bus.