资源列表
LVQ
- LVQ neural network - breast cancer diagnosis LVQ神经网络的分类——乳腺肿瘤诊断-LVQ neural network- breast cancer diagnosis LVQ neural network- breast cancer diagnosis
Face-towards-recognition
- LVQ neural network to predict - Face towards recognitionLVQ神经网络的预测——人脸朝向识别-LVQ neural network to predict- Face towards recognition
ABC
- 用人工蜂群算法解决不同问题,其中包括算法的整个过程-Artificial bee colony algorithm to solve different problems, including the entire process of the algorithm
TOTO_NeuralNetwork_v2
- 全手工Java书写的完全面向对象结构的人工神经网络，现版本，仅实现BP神经网络以及普通梯度下降法，但结构精炼，易于扩展，本人正在书写稀疏自编码用于图像处理，但本版本尚未涵盖。将在以后的版本中上传。（附带CSV输入）-Neural Network Programmed by JAVA, the key contribution of this Project is 100 OO based, readers can easily figure out how to add more things
SBDE
- 自平衡差分进化算法解决各种现实生活中的问题-Self-balancing differential evolution algorithm to solve a variety of real-life problems
AIsimilar
- 根据朋友之间共同邻居的多少，也就是他们的相似度预测社交网络中的朋友关系。-Predict friend link in social network according to their similarity.
swarm-optimization-model
- 基于微粒群模型的无线传感器网络节点部署研究-Research on the deployment of wireless sensor network node based on particle swarm optimization model
An-Introduction-to-SVM
- 支持向量机（SVM）是在统计学习理论的基础上发展起来的新一代学习算法，该算法在文本分类、手写识别、图像分类、生物信息学等领域中获得了较好的应用。本书是SVM的权威参考书。-Support Vector Machine (SVM) is a new learning algorithm developed on the basis of statistical learning theory, the algorithm to obtain a better application in the
BBA
- 蝙蝠算法( bat algorithm) 是由剑桥大学的Yang于2010 年提出的一种模拟蝙蝠捕食过程中所采用的回声定位原理的启发式智能算法。目前已经通过了标准测试函数的测试，对于解决连续性优化问题取得了较好的效果。-Bat algorithm (bat algorithm) is an analog process bat predation by Cambridge University s Yang proposed in 2010 adopted the principle of ec
GAbasedENN_forFitting_v1.0
- 情感神经网络工具箱 构建BELBIC控制器模型-Affective neural network toolbox to build BELBIC controller model
kNN
- 利用Python语言来实现KNN分类，并且实现了交叉验证。-Python language to use KNN classification, and to achieve a cross-validation.
Bayes
- 对VOA文档利用贝叶斯分类器来进行分类，并进行正确性测试。-VOA document on the use of Bayesian classifier to classify, and accuracy testing.