资源列表
Linear-regression
- 对散点图进行N次拟合，使估计更加准确，比如根据房屋面积估算房价-Fill the scatter plot to make the estimate more accurate
GOA
- MATLAB蝗群算法，解决无约束优化问题-MATLAB locust swarm algorithm to solve unconstrained optimization problems
TensorFlowOfChatbot
- 使用TensorFlow实现的Sequence to Sequence的聊天机器人模型-Use TensorFlow implemented Sequence to Sequence chat robot model
OgmaNeo
- OgmaNeo library - A C++ library that contains implementation(s) of Online Predictive Hierarchies-OgmaNeo library- A C++ library that contains implementation(s) of Online Predictive Hierarchies
quasi-rnn-master
- A TensorFlow Implementation of Character Level Neural Machine Translation Using the Quasi-R-A TensorFlow Implementation of Character Level Neural Machine Translation Using the Quasi-RNN
linear-PSO
- 针对PSO算法容易早熟及后期容易在全局最优解附近震荡现象，可使用线性递减权重法PSO-For the PSO algorithm is easy to premature and late in the global optimal solution near the oscillation phenomenon, you can use the linear decrement weight PSO
breed-PSO
- 杂交粒子群算法是借鉴遗传算法中杂交的概念，在每次迭代中，根据杂交率选取指定数量的粒子放入杂交池内，池内的粒子随机地两两杂交。-The hybrid particle swarm algorithm is based on the concept of hybridization in genetic algorithm. In each iteration, the specified number of particles are put into the hybridization pool
nonlinear-system-modeling
- 基于BP神经网络的非线性系统建模-非线性函数拟合，本案例拟合的非线性函数为y x1的平方+x2的平方。-The nonlinear system modeling based on BP neural network to nonlinear function fitting
genetic-algorithm
- 根据遗传算法和BP神经网络理论，在matlab软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。-According to the theory of genetic algorithm and BP neural network, in the matlab software programming to realize BP neural network nonlinear systems based on genetic algorithm optimization fitt
neural-network-and-genetic-algorithm
- 对于未知的非线性函数，仅通过函数的输入输出数据难以准确寻找函数极值，这类问题可以通过神经网络结合遗传算法求解，利用神经网络的非线性拟合能力和遗传算法的非线性寻优能力寻找函数极值。-For unknown nonlinear function, only through the function of input and output data is difficult to accurately find the function extreme value, this kind of prob
MNIST(tensorflow)
- 基于tensorflow的手写识别，训练后可以识别手写数字-Based on tensorflow handwriting recognition, training can identify handwritten numbers
BP-Adaboost
- BP-Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器。-The BP-Adaboost model uses BP neural network as weak classifier to repeatedly train BP neural network to predict the sample output. Adaboost algorithm is used to obtain a