<p>I'm a new at the cellular neural network, which is a special case of the recurrent neural network: my questions are:
I understand the implementation of Chua circuit for the CNN, but I still need to </p>

<p>1- understand intuitively why every cell in CNN receives a summation of the outputs from the surrounding cells? mathematically it is clear how to analysis it but I'm talking about the idea behind that.
2- When do we decide to change the elements of matrix A and B or one of them, since some papers they set matrix B to zeros and sometimes matrix A to zero? I know they want to reduce the error but there is something still not clear.
3-I want to use CNN to classify images and I'm looking to a good reference to do that.</p>

<p>Thank you in advance,</p>

CC BY-SA 3.0
2014-11-28T22:50:06.857Z
this is not really clearly written, what matrixes are you talking about? plz edit to clarify
vzn
CC BY-SA 3.0
2014-11-30T02:39:09.033Z
Matrix A in all papers means feedback weight matrix, but matrix B is the feedforward weight matrix.
Rosa della vita
<machine-learning>
Cellular neural networks
Rosa della vita
# Cellular neural networks

(Asked by: username_0 on 2014-11-27)

I'm a new at the cellular neural network, which is a special case of the recurrent neural network: my questions are:
I understand the implementation of Chua circuit for the CNN, but I still need to

1- understand intuitively why every cell in CNN receives a summation of the outputs from the surrounding cells? mathematically it is clear how to analysis it but I'm talking about the idea behind that.
2- When do we decide to change the elements of matrix A and B or one of them, since some papers they set matrix B to zeros and sometimes matrix A to zero? I know they want to reduce the error but there is something still not clear.
3-I want to use CNN to classify images and I'm looking to a good reference to do that.

Thank you in advance,

**Tags:** machine-learning

> **Comments:**
> **username_1**: this is not really clearly written, what matrixes are you talking about? plz edit to clarify  
> **username_0**: Matrix A in all papers means feedback weight matrix, but matrix B is the feedforward weight matrix.  

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## 0 answers

