资源列表
dcpr.rar
- 一个关于数据聚类和模式识别的程序,在生物化学,化学中因该都可以用到.希望对大家有用,谢谢支持,A data clustering and pattern recognition procedures, in biochemistry, chemistry can be used by the. Everyone would like to be useful, thanks to support
Libsvm2.32
- libsvm的是一个简单，易于使用和高效的软件的SVM 分类与回归。它可以解决ç - SVM分类， 努SVM分类，一类支持向量机，ε- SVM的回归， 和Nu - SVM的回归。本文件解释了libsvm的使用。-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification,
CharR1
- 利用BP神经网络实现字符的自动识别，主要是识别数字，改进后也识别字母~-BP neural network using automatic character recognition is to identify the major figures, improved after identification letters ~
demo
- 一个在.net平台下的先锋3机器人的控制程序，含有多种控制方式。-A. Net platform of Pioneer 3 robot control program, containing a variety of control methods.
adding_generics-2_4ea
- 实现文本分类 KNN算法 VSN向量容量模型-Text categorization KNN algorithm VSM
Python Deep Learning - Valentino Zocca
- Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.
SVM-matlab
- svm的各种经典的程序，用于对数据、图像进行分类，回归。其中，既包含分两类的程序，也包括分多类的程序，以及svm改进算法的程序。-svm various classic procedures for data, image classification, regression. Which contains both the two types of procedures, including many types of procedures and svm algorithm procedur
SOPHIA_PROJECT
- The included Sophia project is intended to be both instructive and fun. It is, at the most basic level, a chatterbox application with speech synthesis and speech recognition tacked on to it. I originally meant for it to be a showcase of what one can
Python Deep Learning - Valentino Zocca
- 能够为我们的学习打下很好的基础，有利于我们学习深度学习(We can lay a good foundation for our study and help us to learn in depth.)
python基础入门代码
- 用于python初学者，python入门实践代码
stockprediction
- 基于灰色神经网络的股指预测方法研究，使用灰色关联分析和神经网络结合对股票价格进行预测-Index based on gray neural network prediction method, using the gray relational analysis and neural networks to predict the stock price
07 神经网络与深度学习
- 人工神经网络（Artificial Neural Networks，ANN）系统是 20 世纪 40 年代后出现的。它是由众多的神经元可调的连接权值连接而成，具有大规模并行处理、分布式信 息存储、良好的自组织自学习能力等特点。BP（Back Propagation）算法又称为误差 反向传播算法，是人工神经网络中的一种监督式的学习算法。BP 神经网络算法在理 论上可以逼近任意函数，基本的结构由非线性变化单元组成，具有很强的非线性映射能力。(The Artificial Neural Network