资源列表
LSRBF
- 一种常见的RBF神经网络matlab程序，对于神经网络预测，分类有参考价值。-A common RBF neural network matlab program for neural network prediction, classification reference value.
yicuansuanf
- 遗传算法的著作，对学习遗传算法有很大帮助。适合入门者学习-GA works on genetic algorithm learning of great help. Suitable for beginners to learn
NSGA-II_20140417
- 遗传算法多目标优化的一个版本，内容包括源程序和NSGA-II工程包nsga2code使用手册- A version of the genetic algorithm for multi-objective optimization, including source code and NSGA-II project package nsga2code Manual
Methods-in-Computer-Vision-
- 计算机视觉中的数学方法.pdf清晰。介绍计算机视觉中的数学原理，讲的很好，前后逻辑关系紧密。-Mathematical Methods in Computer Vision .pdf clear. Introduces mathematical principles of computer vision, speak well and logically close relationship.
cnn_c
- 卷积神经网络的C++代码，用于人工智能处理- Convolution neural network C++ code for the AI processing
cnn_cuda5.5
- 利用cuda加速卷积神经网络，用于人工智能图像分类- Cuda accelerated use convolution neural networks, artificial intelligence for image classification
PSO_BP
- 用PSO粒子群算法优化BP神经网络参数，最后输出BP网络-Use PSO particle swarm optimization BP neural network parameters, the final output BP Network
GA
- 遗传算法的最简单有详细解释的程序，适应度函数fitness可自由更改-The simplest explanation of a detailed program of genetic algorithm, fitness function can be changed freely fitness
PSO--GM
- PSO 优化的灰度预测模型，可以预测累加类数据、且有拟合检验-PSO optimization of gray prediction model can predict the type of data accumulated, and there fit test
chapter15
- 基于SVM的数据分类预测—一种最基本遗传算法和粒子群算法对的支持向量机的参数的优化，再此基础上可以对算法进行改进-Data classification based on SVM prediction- one of the most basic genetic algorithm and particle swarm optimization (pso) algorithm, the optimization of the parameters of the support vector ma
Gaussian-process-regression
- 高斯过程回归及分类的代码，内容全，有实例，注释清晰。包括分类系列和预测回归系列，值得感兴趣的同学学习借鉴。-Gaussian process regression and classification code, content, there are instances, comments clear.Including classification and forecasting return series, is worthy of reference for anyone interest
Fuzzy-logic-evaluation
- 模糊逻辑分析是人工智能的典型工具，通过理论分析，作者给出了一个基于java的模糊聚类算法，以考察司机的行为并作出评价-Fuzzy logic is a typical tool for analysis of artificial intelligence, theoretical analysis, the author gives a java-based fuzzy clustering algorithm to study driver behavior and to uate