搜索资源列表
CI1
- 计算智能中感知机分类算法，单层神经网络权值调整-Perceptron algorithm
perception
- 单层感知机的matlab代码，代码详细，对初学者了解感知机有很大的帮助-matlab code for perception. The code is detail,and very helpful to the freshman.
perceptron
- 单层感知机解决逻辑与、或、非这样的线性可分问题。(Single layer perceptron solves the linear separable problem of logic and / or not)
ClassicalMachineLearning
- 几个经典算法的实现，例如决策树，支持向量机，还有单层感知机等(Several classical algorithms are implemented, such as decision tree, support vector machine, and single layer perceptron)
感知机
- 单层感知机是感知器中最简单的一种。用于两个模式的分裂时，相当于在高维样本空间中，用一个超平面将样本分开(Realization of perceptive neural network)
code2
- 线性神经网络和单层感知机非常相似，输入层、输出层甚至是误差迭代函数都相同，唯一的区别就是他们的传输函数不同(Linear neural network and single-layer perceptron are very similar. Input layer, output layer and even error iteration function are all the same. The only difference