Fn_RMSHE

MATLAB神经网络30个案例分析_案例24 模糊神经网络的预测算法-嘉陵江水质评价的源代码及数据(MATLAB Neural Network Analysis of 30 cases _ the fuzzy neural network prediction algorithm in Case 24- Jialing River water quality evaluation of the source code and data)

cara membuat Grafik User Interface pada matlab

要用灰色模型预测2020年人口数，请赐教(In the gray prediction model to the population in 2020 ..)

感知机算法(内含测试数据tic-tac-toe(三连棋游戏))(Perceptron algorithm (containing test data tic-tac-toe (three with chess games)))

matlab程序设计之图像锐化源码程序matlab programming for image sharpening source program(matlab programming for image sharpening source program matlab programming for image sharpening source program)

matlab 实验5的源代码和运行结果，实验5的源代码和运行结果，(Experiment 5 matlab source code and run the results of the experiment the source code and run 5 results)

kalman滤波实验，目标轨迹跟踪，很好用的例子，供大家学习用(kalman filtering experiments, the target trajectory tracking, with a good example for all to learn)

local histogram maching

说明：  这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。(Here a novel adaptive noise cancellation method using normalized least mean square algorithm, collecting a variety of actual noise environment, the SNR of noisy speech samples for noise reduction, experimental results show that treatment After the signal to noise ratio was greater improvement in the level, greatly improved the listening results, with high intelligibility and naturalness of speech is good, no distortion and were compared with the spectral subtraction, adaptive noise cancellation law than the spectral subtraction noise reduction rate of a certain improvement in the listening results, and with the adaptive noise cancellation method in the treatment of voice clarity, naturalness is better than spectral subtraction.)

JC法可靠度计算程序，时变可靠度计算实例以及时变可靠度曲线绘制，使用寿命预测(JC method of reliability calculation procedures, the time-varying reliability calculation example and time-varying reliability curve drawing, the service life prediction)