搜索资源列表
hopfield
- matlab程序,可以很好的实现神经元网络需要的程序-matlab
mhopfield
- 基于Hopfield网络的非线性系统辨识，含６个神经元-Based on Hopfield network nonlinear system identification, including 6 neurons
Hopfield
- matlab code of hopfield neuronal networks
TP2__Hopfield
- another version of the problem of hopfield neuronal problems
HOPFIELD.ZIP
- Travelling Salesman Problem Hopfield Modified
hopfield
- hopfeild example code
ZJW
- 可以用来学习，hopfield 神经网络以及boltzamnn 机神经网络的学习程序-Can be used to study, hopfield neural network and boltzamnn machine neural network learning process
hopfield11
- 连续 Hopfield神经网络 优化 旅行商问题 优化计算-Continuous Hopfield neural network optimization Optimization for Traveling Salesman Problem
hopfield_for_TSP
- 使用hopfield网络解决六城市以上的TSP问题-Use hopfield network of more than six cities to solve TSP problems
hopfield
- 利用C语言编写的hopfield网络模型解决TSP问题-use hopfield network programmed with C to solve the TSP problem
3Hopfield
- 演示Hopfield网络，具有两个稳定平衡点，其期望向量T如下。-Demo Hopfield network with two stable equilibrium point, the expectation vector T as follows.
NeuralnetworksolveTSP
- 利用连续型Hopfield反馈网络求解10城市的旅行商（TSP）问题,matlab编码，内有详细说明。-Using Continuous Hopfield feedback network of 10 cities to solve traveling salesman (TSP) problem, matlab coding, which is described in detail.
NeuralNetwork
- 含有BP，hopfield,art1仿真源代码-include BP,hopield,ART1 source code
HOPFIELD
- 这里提供hopfield神经网络算法源代码，大家可以放心下载的。-provide a hopfield neural network source code,you can download it without any worrying.
Hopfield
- Hopfield神经网络算法源程序，可以分析一下，用C++编写-hopfield network
HOPFIELD
- hopfield神经网络，英文翻译为hopfield，可用于模式识别的一种神经网络-hopfield
1
- hopfield神经网络结构解决问题，使用MATLAB软件，已经过运行，保证可以使用，得出结果。-hopfield neural network to solve the problem, the use of MATLAB software, has been run, ensure that you can use the result.
Hopfield-www.hoseinzade.ir
- Developing Hopfield Neural Network with MATLAB a document in Farsi Language
Artificialneuralnetworkandsimulation
- 内容包括:人工神经网络简介、单层前向网络及LMS学习算法、多层前向网络及BP学习算法、支持向录机及其学习算法、Hopfield 神经网络,随机神经网络及模拟退火算法、竟争神经网络和协同神纤网络。每章均给出了基于MATLAB的仿真实例以及练习。 -Contents include: Introduction to artificial neural networks, single-layer feedforward network and the LMS learning algorit