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Use standard hopefield networks to simulate certain conditions of the brain.

Step 1= Start with 1000 artificial neurons with 400 connections. use a pattern recognition paradigm. measure how many iterations to teach say 5 patterns and how many to converge on the pattern when presenting degraded patterns.

Step 2-n= at each step 10 connections are deleted and compensation (more on this later is applied). A new pattern is taught. And the number of iteration to converge on the old patterns as well as the new pattern. Untill 0 connections.

Repeat this for 2000,4000, 8000 neurons.

Habilidades: Matlab and Mathematica

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( 0 comentários ) United States

ID do Projeto: #6778506

1 freelancer está ofertando em média $250 para este trabalho

chungtranduc89

Hi, this work is relatively simple. MATLAB already has neural network toolbox for doing your work. If you need to automate the process, I could help you to do so. Price can be negotiate. To start neural network in MATL Mais

$250 USD in 2 dias
(7 Comentários)
4.6
aminhosseiny

Hi man. I could work for you as I have worked a lot on Hopfield networks category. Just tell me do you wanna use Matlab toolbox or manual codes? What ever I could do it.

$250 USD in 3 dias
(3 Comentários)
2.8