An active associative memory neural network model

Author(s):  
Huang Bingxian
1997 ◽  
Vol 10 (3) ◽  
pp. 321-328 ◽  
Author(s):  
Wei Wang ◽  
Geng-Feng Wu ◽  
Bin-Shu Huang ◽  
Kun-Yuan Zhuang ◽  
Pei-Ling Zhou ◽  
...  

2018 ◽  
Vol 3 (01) ◽  
Author(s):  
Sandeep Kumar ◽  
Manu Pratap Singh

Neural network is the most important model which has been studied in past decades by several researchers. Hopfield model is one of the network model proposed by J.J. Hopfield that describes the organization of neurons in such a way that they function as associative memory or also called content addressable memory. This is a recurrent network similar to recurrent layer of the hamming network but which can effectively perform the operation of both layer hamming network. The design of recurrent network has always been interesting problems to research and a lot of work is going on present application. In present paper we will discuss about the design of Hopfield Neural Network (HNNs), bidirectional associative memory (BAMs) and multidirectional associative memory (MAMs) for handwritten characters recognition. Recognized characters are Hindi alphabets.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 61614-61622 ◽  
Author(s):  
Deming Ma ◽  
Guangyi Wang ◽  
Chunyan Han ◽  
Yiran Shen ◽  
Yan Liang

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