搜索资源列表
Hopfield&Application
- 经典的hopfield神经网络的源程序，With with application in Ap:Autoassociative Memory Associative Recall of Images-classical neural network source, with application in With Ap : Autoassociative Associative Memory Recall of Images
hopfieldSrc
- The Hopfield model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with so
HopfieldNet
- 设计一个离散hopfield网络，实现联想记忆，以对模糊数字进行识别，判断。-design of a discrete hopfield network, associative memory, a pair of fuzzy figures for the recognition, judgment.
HOPFIELD
- Hopfield Model Autoassociative Memory 源码, 经典的HOPFIELD人工神经网络例子源码-Hopfield Model Autoassociative Memory source, HOPFIELD classic example of artificial neural network source
Neural-Network-Character-Recognition
- 利用Hopfield 神经网络联想记忆的功能, 对有噪声干扰的字母进行识别-Using Hopfield neural network associative memory function, there is noise interference on the letters to identify
hopfield[1]
- hopfield神经网络，vc++源代码，联想记忆-hopfield neural network, vc++ source code, associative memory
hopfield
- 用javascr ipt编写的一段hopfield联想记忆程序，可以记住m*n个方格的内容。-Prepared with a hopfield javascr ipt associative memory process, m* n one can remember the contents of the box.
Hopfield
- implement a Hopfield network for the retrieval of stored 2-D patterns-Input Parameters: Ask the user to input the number of fundamental memories p (2 ≤ p ≤ 5), the width w (3 ≤ w ≤ 5) and height h (3 ≤ h ≤ 6) of each 2-D pattern. Storage Phase: E
Autoassociative-Memory
- Hopfield Model Autoassociative Memory 源码, 经典的HOPFIELD人工神经网-Hopfield Model Autoassociative Memory
hopfield
- 离散二值神经网络，作为一种新的人工神经网络，是一种具有联想记忆功能的网络，用于数字识别。-Discrete binary neural networks, as a new artificial neural network is a kind of associative memory function of the network, for digital identification.
Associative-memory
- 霍普菲尔德神经网络对车牌的识别，具有很好的效果。对数字的识别也有很好的效果，在图像识别图像处理方面也有很好的应用-Hopfield neural network to the license plate recognition, and has a good result. The identification of digital also have very good effect, in image recognition image processing of also has a go
Hopfield
- 离散Hopfield神经网络的联想记忆—数字识别。 用matlab实现，.m文件。-Discrete Hopfield neural network associative memory- digital identification. Using matlab m file.
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
Hopfield
- 这是我找到的一个应用Hopfield网络将对汉字、韩文、英文字母和标点符号进行联想记忆。在不同干扰下，训练神经网络，输出训练后的图形。-This is an application Hopfield network will I find Chinese, Korean, English letters and punctuation associative memory. Under different disturbances, training neural networks, graph
Hopfield
- 离散Hopfield神经网络的联想记忆—数字识别，包含源代码和数据-Discrete Hopfield neural networks associative memory- digital identification, including source code and data
Hopfield-matlab-code
- 离散Hopfield神经网络的联想记忆的数字识别matlab代码，相互学习-Discrete Hopfield associative memory neural networks matlab digital identification code, learn from each other
hopfield
- 基于离散hopfield神经网络的噪声数字识别（随机噪声）联想记忆功能-Based on the identification of discrete digital noise hopfield neural networks (random noise) associative memory function
Hopfield
- A Hopfield network is a form of recurrent artificial neural network invented by John Hopfield in 1982. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but conv
hopfield
- 采用hopfield神经网络实现联想记忆功能-Hopfield neural network was adopted to realize associative memory function
Hopfield
- 应用于数字识别的离散Hopfield神经网络的联想记忆(Associative memory of discrete Hopfield neural network applied to digit recognition)