资源列表
jianmozhiliao
- 有关2012全国大学生数学建模竞赛论文，可以让读者提供一些方法和思路。-For papers of the 2012 National Mathematical Contest in Modeling, allows the reader to provide some methods and ideas.
haode
- 神经网络在实践中的应用，用户只要输入参数就可以得到自己需要的答案-The application of neural networks in practice, as long as the user input parameters can get the answers they need
Teapot
- opengl 画茶壶，适合初学者，有各种常用接口.-opengl draw teapot, suitable for beginners, and a variety of common interfaces.
sljflk
- 神经网络在实践中的应用，用户只要输入参数就可以得到自己需要的答案-The application of neural networks in practice, as long as the user input parameters can get the answers they need
ant-miaohui
- 蚁群的描绘 直接方便应用 希望可以帮助你解决生活中遇到的路径问题让你花费最小话。-Ant Colony portrayal of directly facilitating the application can help you solve the routing problem encountered in the life you spend a minimum if
wodell
- 神经网络在数学建模中的应用，用户只要输入参数就可以得到自己需要的答案-Neural network applications in mathematical modeling, the user input parameters you can get the answers they need
ant-jiangzuo
- 蚁群的讲座 看了有点触动 希望可以帮助你解决生活中遇到的路径问题让你花费最小话。-The ant colony' s lecture looked a little touch can help you solve the routing problem encountered in the life you spend a minimum if.
phyaoy
- 神经网络在实践中的应用，用户只要输入参数就可以得到自己需要的答案-The application of neural networks in practice, as long as the user input parameters can get the answers they need
ant-chengxu
- 蚁群的程序 直接方便应用 希望可以帮助你解决生活中遇到的路径问题让你花费最小话。-Ant colony procedures directly to facilitate the application can help you solve the routing problem encountered in the life you spend a minimum if
chapter14
- SVM神经网络的回归预测分析---上证指数开盘指数预测 ，利用回归预测分析最佳的参数进行SVM网络训练-SVM Neural Network Regression analysis--- The Shanghai Composite Index opened index forecast, Regression analysis of the best parameters for SVM network training
and
- 案情分析，利用神经网络来模拟，我们可以得到比较好的结果-Case analysis, the use of neural networks to simulate, we can get better results
chapter17
- SOM神经网络的数据分类--柴油机故障诊断,通过bp神经网络的训练和查看分类，可以查看每个神经元的分类情况-SOM neural network data classification- diesel engine fault diagnosis, bp neural network training and view categories, you can view the classification of each neuron