资源列表
RBF改进算法的Q-Learing路径规划MATLAB仿真
- 用RBF改进算法的Qlearning算法matlab仿真(Matlab simulation of qlearning algorithm improved by RBF)
深度学习实现零件缺陷检测源代码(1)
- 结合VGG和残差网络实现工业零件的缺陷检测，基于keras和tensorflow可以直接运行使用(The defect detection of industrial parts is realized by combining VGg and residual network. Based on keras and tensorflow, it can be used directly)
ANFIS
- ANFIS (Adaptive-Network-based Fuzzy Inference System) is a fuzzy inference systemimplemented in the framework of adaptive networks, and it can construct an input-output mapping based on both human knowledge (in the form of fuzzy if-then rules) and st
duancengshibie
- 人工智能断层识别以及一部分标签制作流程,采用常规的卷积神经网络进行模型训练
CROlib.mat
- 化学反应算法的MATLAB程序，亲测好用，方便学习(Matlab program of chemical reaction algorithm, easy to use and study)
GABP
- 优化BP预测用于预测股票或者是预测一维数据，都可以有单一的BP也有遗传算法优化的代码(Optimization of BP prediction can be used to predict stocks or one-dimensional data, both of which can have a single BP and a genetic algorithm optimization code)
SRCNN
- 包含SRCNN训练好的模型，常用训练图像，以及SRCNNmatlab代码，注释详细(Including srcnn trained models, common training images, and srcnmatlab code, with detailed notes)
stock-rnn-master
- 用深度学习算法进行股票价格预测，文件中含有数据集(Using deep learning algorithm to forecast stock price, the file contains data set)
neural-network-genetic-algorithm-master
- 为了自动学习CNN的深度网络结构，网络结构的数量随着网络中间层数量的增加呈指数增长，这启发我们使用遗传算法有效地遍历这个大的搜索空间。我们首先提出一种编码方法，将每个网络结构表示为一个固定长度的二进制字符串，然后通过生成一组随机个体来初始化遗传算法。在每一代中，我们定义标准的遗传操作(如选择、突变和交叉)来消除弱势个体并产生更具竞争力的个体。(In order to automatically learn the deep network structure of CNN, the number
DeepCCA-master
- Deep Canonical Correlation Analysis
ARIMA_时序预测
- 用于各种环境下的时序预测方案，可以帮助非专业统计人员快速入门
RRTs-master
- RRT算法应用于机械臂避障的过程中，具有良好的稳定性(RRT algorithm has good stability in the process of robot arm avoiding obstacles)