资源列表
1
- FCM程序实现，
Desktop
- 贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier classification principle is a priori probability of an object by using the Bayesian formula to calculate the probability of subsequent experience, that is,
0530ga-bp
- 遗传算法优化神经网络 用于城市轨道交通车站客流预测-The genetic algorithm optimization neural network for urban rail transit station passenger flow forecast
masotti_MLP_Classificazione
- 多层感知器的分类程序! -Multi-layer perceptron classification procedures!
Hopfield
- 离散Hopfield神经网络的联想记忆,一个数字识别的例子，很好-Examples of discrete Hopfield neural network associative memory, a digital identification, good
mylinear
- 基于liblinear的预测代码，可进行多类别分类-prediction code based liblinear
perception.rb
- Perception,神经网络感知器，单元模块-Perception, perceptron neural network, modules
BP
- 基于BP神经网络的十六进制的数字识别系统-BP neural network based on the hexadecimal number identification system...
FNN
- 模糊综合评价的运用，两个输入量作为评判因素。隶属度函数是岭行分布函数。-Fuzzy comprehensive uation of the use of two inputs as a judgment factor. Membership function is the ridge line of the distribution function.
BP
- 基于matlab环境实现的bp神经网络算法，很简单实用-Matlab-based environment to achieve bp neural network algorithm, it is simple and practical
EvalTool
- 这是一个生成词的模式匹配与检验代码，python的效率很高，很适合编写这样的程序-This is a generation word pattern matching and inspection code, the python efficiency is very high, very suitable for writing this program
huise
- 运用粒子群算法优化灰色预测模型的源程序，直接读取数据运行-Particle swarm optimization using gray prediction model of the source, read data directly run