资源列表
asdfgh
- 实现数字识别,径向基神经网络手写体数字的识别准确率高-Digital recognition, RBF neural network handwritten digital recognition accuracy is high
Forest-Fires-Data-Set
- 森林火灾数据集，可作为 数 据 挖 掘 的数据库-Forest fires dataset can be used as data mining database
RVM1
- RVM源代码，有例子说明，供初学者使用，不错的代码-this is a code of RVM, which can help the people who begin to study RVM
Krill-Herd
- 这是基本的磷虾群智能算法，简单实用，适合初学者使用。-This is the basic of krill swarm intelligent algorithm, simple and practical, suitable for beginners to use.
FOA
- 这是基本的果蝇优化算法，简单高效，非常适合初学者使用。-This optimization algorithm is a basic flies, simple and efficient, very suitable for beginners to use.
Chat-Robot
- ChatBot - Visual Basic 6
PSO-SVM
- 利用粒子群算法对支持向量机的惩罚因子等进行优化。方法简便有效- Particle swarm optimization for SVM punishment factor optimization. The method is simple and effective
AISMOP2
- 该函数演示具有偏好等级的多目标perota优化问题(由粒子群算法改编求解ZDT1)-This function demonstrates the preference level of multi-objective perota optimization problem (by particle swarm algorithm for solving ZDT1)
gm1n
- 程序名称:gm1n.m GM(1,N)模型,程序功能:利用GM(1,N)模型进行预测。程序编写:mongvi@126.com。开发指导:刘思峰教授。程序发布:南京航空航天大学灰色系统研究所。-GM gm1n.m (1, N) model Function: GM (1, N) model is used to forecast.
SOFNN
- 经典的自组织模糊神经网络的MATLAB程序，编程习惯良好，注释详细-The classic self-organizing fuzzy neural network MATLAB program, programming habits, and detailed notes
Q-Learning-Example-1
- Q-学习是一种重要的强化学习方法，提供一个Q-学习做路径规划的例子，初学者可以通过代码学习Q-学习的原理。-Q- learning is an important reinforcement learning methods, to provide an example of Q- learning to do path planning, beginners can learn the principles of Q- code.
SingleSensor
- matlab实现的单层感知器代码，用于实现逻辑“与”和逻辑“或”-matlab implementation of a single layer perceptron code for implementing the logical " AND" and the logical " or"