资源列表
SOM_ANN
- SOM神经网络，完成简单分类任务，C#编写，欢迎交流-SOM neural network, to complete a simple classification tasks, C# prepared, welcomed the exchange of
LinearReg
- 线性回归的，递归实现，可被编译成DLL，欢迎交流-The realization of recursive linear regression,, can be compiled into DLL, welcomed the exchange of
AdaBoost-Stump
- Adaboost的C++实现，编译成DLL工程，可直接调用，欢迎交流-Adaboost C++ implementation, compiled into a DLL project, can be called directly, welcomed the exchange of
PLA
- 最简单的PLA分类方法，编译成DLL工程，可直接调用，欢迎交流-PLA classification method is the most simple, compiled into a DLL project, can be called directly, welcomed the exchange of
GA
- GA實現發電機組排程 發電量限制與機組發電限制-GA achieve generators schedule generating unit generating capacity limitations and restrictions
BP_C
- BP神经网络算法，用C语言编写，仅供参考学习-BP neural network C++
SOA
- SOA人群搜索算法具有鲁棒性好，算法较快的收敛性，算法求解最优值避免早熟等现象的发生，因此，人群算法完成函数优化分析具有收敛精度高等特点。-SOA crowd searching algorithm has better robustness and fast convergence of the algorithm, algorithm for optimal value to avoid the premature occurrence of such phenomena, therefor
StandardBPalgorithmCode
- 该代码是基于标准BP算法训练样本数据的代码，压缩包里包含代码和样本数据。 BP(Back Propagation)神经网络，即信号的正向传播+误差的反向传播，该网络是应用最广泛的一种神经网络模型。BP网络的设计主要包括输入层,隐层,输出层及各层之间的权值、阈值及传输函数等几个方面。-The code is based on code standard BP algorithm training data, compression bag containing the code and sampl
onlineldavb
- python写的online lda,LDA算法的实时实现，根据lda已经计算出来的主题，强化后面没计算出来的主题-Online lda,LDA algorithm for real-time implementation of Python written, based on the theme of the LDA has been computed, theme of strengthening the back does not come out
Linux_voice_1.015_550ad6cb
- linux环境下，科大讯飞语音识别和TTS、语音听写的在线API sdk应用-Under linux environment, iFLYTEK speech recognition and TTS, voice dictation application online API sdk
controlhys_1
- 针对一种迟滞现象进行的神经网络控制，在控制器的设计中采用了伪控制技术-Neural Network Control for a hysteresis phenomenon in the design of the controller uses a pseudo-control technology
OPP
- 保护最优程序，用matlab编写，适合电力系统从业人员使用。-Optimal protection program , written in matlab, practitioners use for the power system .