资源列表
《神经网络与深度学习》Michael Nielsen
- 这本书最初是我学习 Neural Networks and Deep Learning 时做的中?笔记，因为原书中有很 A A 多数学公式，所以我? LT E X 来编写和排版，并将所有 LT E X 源码放置在 GitHub。其中部分内容 取? Xiaohu Zhu 已经完成的翻译来避免重复的?作。(This book was originally Neural Networks and Deep Learning I learned to do in notes, because there
Python-ELM-master
- 极限学习机的 python实现，可用于回归，多分类问题等。(The python coad of the extreme learning machine which can be used for regression, multiple classification problems, etc.)
原始的粒子群算法
- 文章为最原始的粒子群多目标算法，已经调通，供大家学习和研究。(The article is the original particle swarm multi-objective algorithm, it has been transferred for everyone to learn an d study.)
第二讲 数据挖掘概述
- 详细介绍了数据挖掘的几种方式，以及应用场景，适合初学者(Details of several ways of data mining, as well as application scenarios, suitable for beginners)
rbf
- 实现径向基神经网络的matlab预测，较好的完成了神经网络的预测控制性能。(Matlab prediction of radial basis function neural networks)
bp
- 一种BP神经网络的PYTHON代码，可用于简单预测等(A BP neural network PYTHON code)
神经网络
- 人工神经网络（Artificial Neural Networks，简写为ANNs）是一种模仿动物神经网络行为特征，进行分布式并行信息处理的算法数学模型。这种网络依靠系统的复杂程度，通过调整内部大量节点之间相互连接的关系，从而达到处理信息的目的，并具有自学习和自适应的能力。(Artificial neural network (ANN) is a mathematical model that imitates the behavior characteristics of animal neu
新建文件夹 (2)
- 神经网络预测，用来根据几个输入值，来预测输出值(Neural network prediction)
image-sentiment-analysis
- 图片情感分析模型，基于卷积神经网络，以颜色特征为依据进行情感分类，图片情感极性分为积极和消极两类。(The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neura
yichuan
- 解决路径寻优问题的遗传算法，经过相对路径寻优的问题进行改进的算法，提高算法运行速度(Genetic algorithm for solving path optimization problem)
CNN_impl
- cnn算法的手写实现，教你如何一步一步实现cnn算法，理解cnn原理(CNN algorithm handwritten realization, teach you how to step by step to achieve the CNN algorithm, understand the CNN principle)
ELM
- ELM回归与分类算法，用于近红外光谱或拉曼光谱数据处理(ELM regression and classification algorithms are used for near infrared or Raman spectral data processing)