eigBSE

BP神经网络在齿轮箱故障诊断中的应用：介绍了BP网络的原理、算法，并用BP网络对采煤机截割部齿轮箱机械传动系统的故障进行了趋势预测。经过地面模拟加载实验及井下验证，证明用人工神经网络可较好地预报机器故障，变被动维修为视情维修，可节省大量的设备维修费用，为合理安排生产计划及设备检修提供了可靠的依据。(BP、gearbox fault diagnosis)

simulation puma560 6 dof IK and FK

说明：  径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

PATHDEF returns a string that can be used as input to MATLABPATH in order to set the path.

pattern recognition system

用matlab实现的MSR增强算法，对低照度图像有一定的增强效果(Using matlab realize the MSR enhancement algorithms for enhanced low-light images have a certain effect)

可以用来求ADC的SNDR的m文件，需要ADC的输出作为txt文件输入(M files for SNDR that can be used for ADC)

说明：  模型预测算法，传递函数对象为例，程序以及仿真曲线(MPC.model predict.transfromation.)

说明：  一个使用空间时频分布进行盲信号分离的Matlab程序，可以实现高信噪比下的随机信号分离(the use of space at a frequency distribution for the Blind Signal Separation Matlab procedures can achieve a high SNR of random signal separation)

说明：  用matlab写的印刷体数字识别程序，对matlab 6.0以上有效(Written with matlab print digital identification procedures, more effective on matlab 6.0)