bfgs

genera histograma en matlab

说明：  本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, GMM FJ algorithm is used, the effect is very good )

用短时平均能量值对干净的语音信号进行检测，可以区分语音和非语音部分(With short time average energy value to test the clean speech signal, can distinguish between voice and non-voice part )

本件描述了单电感入网的解耦模型，通过仿真和实验验证了正确性(This part describes the decoupling model of single inductor network, through simulation and experiment verify the correctness )

说明：  在matlab下运行，实现基于模拟退火算法的函数求极小值算法，绝对能运行成功！(Run in matlab to realize the function based on simulated annealing algorithm for seeking the minimum, the absolute can run successfully!)

两自由度碰撞振动系统的lyapunov指数的matlab代码，用wolf法。(lyapunov code of matlab)

DPLL SIMULATION in MATLAB

Direct torque control based neural netwoek

基于补偿的模糊神经网络，此程序序开发于matlab-matlab (Compensation-based fuzzy neural network, this program logic developed in Matlab-Matlab)

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.