搜索资源列表
ANNPID
- 分别采用4种控制律进行单神经元PID控制,即无监督的Hebb学习规则、有监督的Delta学习规则、有监督的Hebb学习规则、改进的Hebb学习规则.-Separately using four kinds of control laws for single neuron PID control, that is, unsupervised Hebb learning rules, there is the Delta Study supervision rules, there is supe
ninf01
- HEBBIAN SPIKE-TIMING DEPENDENT SELF-ORGANIZATION IN PULSED NEURAL NETWORKS
nerual-network-BP
- 模拟BP神经网络，已知四个输入向量和期待输出，可以通过hebbian和delta学习算法得到权重值，从而构建网络-BP neural network simulation, the four known input vector and look forward to the output, you can get hebbian and delta weight learning algorithm to build the network
nn(S.Haykin)
- 神经网络原理 Simon Haykin 基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation， Radial-Basis Function，Self-Organizing Maps，以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin covering the basic part of the neural
Neural-Networks
- 神经网络原理 Simon Haykin 英文版 基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation， Radial-Basis Function，Self-Organizing Maps，以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin in English covering the neural net
heb
- hebbian rull in neural network
hebbian
- this a code for neural network that estimate diffrential equations with heb learning-this is a code for neural network that estimate diffrential equations with heb learning
HebbNN
- this is a code for hebbian learning algorithm of artificial neural network
hebb
- Hebbian-based Maximum Eigenfilter
poisson
- Competitive hebbian learning through spike-timing-dependent synaptic plasticity