资源列表
CS_SVM
- 我们使用布谷鸟智能算法优化SVM的参数（c,g）以此提高SVM的预测能力。-We use the cuckoo intelligent algorithm to optimize the parameters of the SVM (c, g) in order to improve the prediction ability of SVM.
helios-base
- 日本helios改良过的底层代码，版本为3.11以上-Japan helios improved over the underlying code, version 3.11 or more
Matlab-Petri
- 基于matlab的双足机器人编译程序及仿真实现的设计-matlab bipedal robot compiler and Simulation Based Design
hybrid-of-GA-and-PSO
- 混合粒子群算法训练BP神经网络（实验数据包含在内）-A hybrid algorithm is based on particle swarm optimization and it is used in training back propagation neural network (source code)
chengxu
- 某火箭在空中沿直线做匀加速飞行，加速度为a ，发动机推力的波动必然会 引起加速度的波动，雷达以时间间隔T 不断测量该火箭距离原点的距离s ，而雷 达测量带有噪声。要求基于雷达对火箭距离的测量数据估计火箭的真实距离、速 度和加速度。 -A rocket in the air do acceleration in flight, along a straight line acceleration for a, engine thrust fluctuation will inevi
sparseae
- 用matlab代码实现的稀疏自编码器，通过可视化步骤，可以看到稀疏编码提取出来的她特征。- sparse autoencoder written by matlab, through visualization step, you can find the features extracted by sparse coding .
MNIST-OCR-ELM
- ELM超限学习机的拓展应用，多层感知机，可用于特征提取- Expand the application ELM overrun learning machine, MLP can be used for feature extraction
Widrow-Hoff-Learning-Algorithm
- 编写了简单的Widrow-Hoff学习算法，绘制学习速率在0.01、0.1和0.5时的误差变化趋势，迭代了5000次，另外一个描绘了三种情况的分解面-It is about the Widrow-Hoff learning algorithm.The algorithm sets three different learnging rate as 0.01,0.1 and 0.5.
HMM-isolated-word-speech-recognition
- 一种基于隐马尔科夫模型的孤立词的的语音识别实验，可以试验0到9的数字语音识别。-An isolated word speech recognition experiment based on the hidden Markov model, can test 0 to 9 digit speech recognition.
SleepWakeStaging
- 睡眠分析源程序，非常详细专业的脑电分析程序，非常适合脑电分析的学生-Sleep source analysis, very detailed professional EEG analysis program, EEG analysis is ideal for students
Combinatorial-Auctions
- 采用禁忌搜索算法解决组合拍卖问题，在短时间内找到近似最优解，用C++语言实现。-Tabu search algorithm for solving combinatorial auctions, in a short time to find the approximate optimal solution with C++ language.
pso-riqian-dispatch
- 日前调度计划优化，根据负荷、风电、光伏、燃气轮机、蓄电池出力计划，安排日前调度出力，以成本最优为目标函数进行调度-Recently scheduling optimization, depending on the load, wind power, photovoltaic, gas turbines, battery output plan arranged before scheduling output, optimal scheduling cost as the objective