rosler-2-channel

fisher线性分类器，包括训练和测试样本(fisher linear classification)

说明：  matlab GUI 计算器，和附件的计算器功能类似，由GUI实现(matlab GUI calculator, calculator functions and accessories similar to the GUI to achieve)

本程序实现随机数的产生和在相同调制方式下功率谱比较(the program of random number generation and modulation in the same way under the power spectral comparison)

this the code of hybrid big-bang big-crunch algorithm in matlab

Soluç ã o de Equaç ã o Diferencial Ordinária - Método do Ponto Médio

C++ implementation of Local Self Similarity. shi xian tu xiang de rong

developing neural networks with matlab

关于多基地主动声纳中的自动跟踪探测方面的文章来源IEEE(Adaptive Track Detection for Multi-Static Active Sonar Systems)

本资料包括风电场一年内的风速实测数据，并根据实测数据对风电场风速和输出功率进行预测和建模仿真，希望对大家有帮助。(This information, including wind velocity measured data within the electric field of the year, and based on the measured data on wind speed and power output forecasting and modeling and simulation, we hope to help.)

针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)