bcs_vb

BP神经网络的整个训练过程,matlab编写的元胞自动机，独立成分分析算法降低原始数据噪声。( The entire training process BP neural network, matlab prepared cellular automata, Independent component analysis algorithm reduces the raw data noise.)

利用Lax-wendroff两步差分格式求解一维激波管问题Fortran语言(Use a two-step Lax-wendroff Difference Scheme for Solving the one-dimensional shock tube problem Fortran language)

n of the parity check matrix

说明：  用DFT 函数计算电压u, 电流i的基波(f1=50 Hz)的有效值和相位; 用FFT函数分别计算电压u和电流i 所包含的直流,基波和谐波的有效值和初相角; 可计算基波(f1=50 Hz)和各次谐波的功率p和功率因数con?.(The effective value and phase of fundamental wave (f1 = 50 Hz) of voltage U and current I are calculated by DFT function. The effective values and initial phase angles of DC, fundamental and harmonic waves contained in voltage U and current I are calculated by FFT function, respectively. The power P and power factor con of fundamental wave (f1 = 50 Hz) and harmonics can be calculated.)

完成地震数据的curvelet阈值重构功能算法简洁注释详细(Completion of seismic data the curvelet threshold reconstruction algorithm is simple function comment in detail)

几个多目标求极值的Matlab算法，包括模式搜索法、Rosenbrock法、单纯形法、Powell法、最速下降法、共轭梯度法、牛顿法、信赖域法(Matlab algorithm, several multi-objective extremum including pattern search method, Rosenbrock method, simplex method, Powell method, the steepest descent method, conjugate gradient method, Newton' s method, trust region method)

许多图像问题需要某种物体的检测，其中图像之间的物体的外观有自然的变化。 如人脸识别，病变检测，神经通道分割。 这些图像问题可以通过手动注释图像对象来解决，以训练识别正常物体外观的模型。 这可以通过基于PCA的最大似然分类器来完成。(PCA algorithm suitable for detection / recognition of 2D image "objects")

非常好的源代码,用于ADC FFT的例子(VERY GOOD SOURCE CODE FOR ADC FFT)

二维贴体网格 fortran 源程序；偏微分方程生成网格，附详细的说明文档(body-fit mesh generation, two dimension)

用于计算太阳辐射的模型，该模型计算精度好，方法简单(Used to calculate the solar radiation model, the model accuracy, the method is simple)