资源列表
ART
- 神经网络方面原码，实际中修改一下可用,做一下参考-Neural network source, can be changed a bit in practice, do you refer to
pso
- matlab环境下，粒子群算法，通用性强-matlab environment, PSO, versatility
DeMat
- 差分进化算法，求最优解，能实现，能运行，是个样板(Differential evolution algorithm, the best solution, can be realized, can run, is a template.)
Kmeans_java
- 使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)
跨模态文字检索图片102花卉数据
- 跨模态检索 tensorflow实现，使用googlenet处理图片，char-cnn处理文字，使用triple-loss训练(Tensorflow is implemented by cross-modal retrieval, using Google eNet to process pictures, char-cnn to process text, and triple-loss training)
Proximal_Policy_Optimization
- 强化学习可以按照方法学习策略来划分成基于值和基于策略两种。而在深度强化学习领域将深度学习与基于值的Q-Learning算法相结合产生了DQN算法，通过经验回放池与目标网络成功的将深度学习算法引入了强化学习算法。(Reinforcement learning can be divided into value-based learning and strategy based learning according to method learning strategies. In the fiel
BP神经网络
- 简单的BP神经网络预测天气例程，包括训练数据集和天气数据来源(Simple BP neural network weather prediction routine, including training data set and weather data source)
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)
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
Sentiment Analysis1
- 读取csv或xlsx文件后对文本信息进行NLP情感分析并计算出情感的得分，越接近1越积极，越接近-1越消极(After reading the CSV or xlsx file, NLP sentiment analysis is performed on the text information and the score of sentiment is calculated. The closer to 1, the more positive, the more close to - 1,
ResNet-Tensorflow-master
- 使用tensorflow框架对高光谱图像进行识别、分类(Recognition and classification of hyperspectral images using densenet structure)
张明-结构可靠度分析方法与程序（编程例子）
- 张明老师matlab的应用案例，编码附在里面，希望可以多多交流(Genetic algorithm code, plus personal understanding, I hope you can communicate more)