affinity-propagation

摘要:提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。 最后,算法对3个较复杂的多目标问题进行了优化,优化结果能很好地覆盖问题的Pareto最优面,并且把算法与某些混合遗传算法进行 了对比实验,表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。 (Abstract:In order to effectively solve multiobjective optimization problems, a novel artificial immune algorithm is proposed. It is de signed and analyzed based on excellent intrinsic features of nature immune systems. Additionally, the algorithm sensitivity to its tuning pa rameters is briefly assessed. Finally, the algorithm is applied to solve three complex multiobjective optimization problems and the results ca perfectly map the Pareto-optimal fronts. By comparing the algorithm with some genetic algorithms, it shows the good prospect to apply ar tificial immune system to solve multiobjective optimization problems. )

General case Smatrix for Eshelby Function in MicroMechanics

This is Laser Range Finder Communication source code. Device is Hokuyo URG 04 Series. URG-PC communication with SCIP 2.0. Contents is Next 1. Open Device 2. LRF SingleScan(Aquisition 682 data array at one scan) 3. Close Device

基于simulink的功率及其功率因素的仿真模型(Based on the power and power factor simulink simulation model)

以mathematica9中文版来计算由牛顿迭代法产生的实根。因开发环境中没有mathematica,故只好选matlab.(Using mathematica9 to calculate the real root produced by the Newton iterative method. The station is estimated without.)

方形障碍物的绕流LBM初级程序，对于刚开始学习LBM模拟的人是一个很好的入门程序。(Lattice Boltzmann method program for flow past rectangle obstacle. It is useful for the people who prepares to study LBM.)

一阶无限冲激响应低通滤波器和一阶无限冲激响应高通滤波器，用matlab计算并画出它们的增益响应(First order IIR low-pass filter and the first order IIR high-pass filter, using matlab to calculate and draw them gain response)

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

基于chebyshev的水声信号分析，能量熵的计算，数值分析的EULER法，处理信号的时频分析，FMCW调频连续波雷达的测距测角，使用大量的有限元法求解偏微分方程，预报误差法参数辨识-松弛的思想。( Based chebyshev underwater acoustic signal analysis, Energy entropy calculation, EULER numerical analysis method, When processing a signal frequency analysis, FMCW frequency modulated continuous wave radar range and angular measurements, Using a large number of finite element method to solve partial differential equations, Prediction Error Method for Parameter Identification- the idea of relaxation.)

捷联惯导初始对准的程序 matlab写的 包括动基座和静基座对准。(Initial Alignment of SINS program written in matlab, including dynamic and static alignment.)