fulore1_fu

PSO求解最大值，数学建模模拟退火算法之一(PSO for solving the maximum mathematical modeling one of the simulated annealing algorithm)

实现删除对象delete_object（可以连续删除多个对象），实现获取一个对象get_object（多个对象），get_types，get_schema，post_object，get_workflow，set_workflow,其中get_discussion有问题（python脚本就没有成功过）。(Delete_object deleted objects (you can delete multiple objects) in a row, realize the access to an object get_object (multiple objects), get_types, get_schema, post_object, get_workflow, set_workflow, there get_discussion problem (python scripts no) have been successful. )

gives a nice phase portrait of dynamical systems

SIMULATION BY MATLA INCLUDE OFDM

一个线性预测的matlab仿真程序，先用模型生成原始信号(平稳随机过程)，然后利用最小均方误差准则计算出预测系数，最后利用预测系数对原始信号进行预测(利用原始信号过去n个时刻的值预测当前时刻的值)。(This is a matlab program for linear prediction. First, we use all-pole model to generate a signal(stationary signal), then utilize the Minimum Mean-Square Error to compute the filter cofficient, at last we can use the filter cofficient to predict(use past n signal data to predict current signal data).)

无线通信系统仿真，程序块很分明，包含MIMO、OFDM、空时编码，有很多子函数，可以借鉴(The wireless communication system simulation, block very clear, including MIMO, OFDM, space-time coding, there are many sub-functions, we can draw)

Candide-3 face model

分类工具包，含有多个分类算法的matlab源程序，适用于类别数据的分类和可视化(The Classification toolbox for MATLAB is a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models: Discriminant Analysis, Partial Least Square Discriminant Analysis (PLSDA), Classification trees (CART), K-Nearest Neighbors (kNN) and Soft Independent Modeling of Class Analogy (SIMCA). This is the version 3.1 of the Classification toolbox for MATLAB Classification toolbox for MATLAB has been released by Milano Chemometrics and QSAR research Group. Visit our website at www.disat.unimib.it/chm )

通过贝叶斯决策，测试给定的一组数据（身高/体重）来判断是男生还是女生。(Through Bayesian decision, given a set of test data (height/weight) to determine if a guy or girl.)

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)