资源列表
两种预测方法比较
- 风速预测算法，文件包含了BP算法和RBF两种神经网络算法，适合初学者入门(wind prediction ,BP and RBF)
testandtrain
- 利用三层卷积神经网络识别信号星座图，准确识别8psk，16psk，32psk，64qpsk四种调制方式，在低信噪比的情况下已然有良好的识别率。(The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good
ABC_cobe
- 人工智能蜂群算法，c++编辑，是用软件Notepad++存储的，可自行更改(Artificial intelligence bee colony algorithm, c++ editor, is stored in software Notepad++ and can be changed by itself)
bp神经网络&龙贝格积分
- 通过C语言构建了bp神经网络以及龙贝格积分算法。(BP neural network and Romberg integration algorithm is constructed by C language.)
main
- NLP-NER的一个简单Demo。模型基于LSTM-CRF(A Demon for Chinese-NER from https://github.com/zjy-ucas/ChineseNER)
kmean
- 一个学习k均值聚类的实例，代码实现了其基本原理，简单易懂，带有测试，训练数据集，可直接上手操作(A learning k-means clustering example, the code to achieve its basic principles, easy to understand, with a test, training data set can be used directly)
test1
- 神经网络，深度学习上非常经典的例子-RNN循环神经网络，使用mnist数据集，代码简单易懂，学习方便(Neural network, deep learning is a very classic example -RNN circular neural network, the use of mnist data sets, the code is easy to understand, easy to learn)
1683387
- 求解货郎担问题的分枝限界算法,程序中有较为详细的注释()
SLTF_renistry_concrete
- 用C++实现各种排序算法：如冒泡排序,选择排序,插入排序,希尔排序,快速排序,归并排序,基数排序和堆排序,并带有源代码说明()
3868427
- 这是二分法程序,满足f(a) f(b)<0d的f(x)在[a,b]区间的实根, 优点：1程序简单； 2对f(x)要求()
8547220
- 骑士问题的算法,和马踏棋盘的算法差不多,希望对大家有帮助!()