0
votes
2answers
89 views

Could one sample be enough for a perceptron training?

I need to compare a picture and decide whether or not it is similar to another one. In this case, I would like to use a simple perceptron that compares pixelmaps of both pictures. But I have only very ...
0
votes
2answers
161 views

Neural network input preprocessing

It's clear that the effectiveness of a neural network depends strongly on the format you give it to work with. You want to preprocess it into the most convenient form you can algorithmically get to, ...
5
votes
2answers
268 views

How to solve this problem- Neural Net? Fuzzy? Other?

Hi I have a programming problem that I would like to solve using some artificial intelligence technique. I really dont know where to start. I would like some guidance as to what methodology to pursue. ...
6
votes
5answers
404 views

Type of AI to tackle this problem?

I posted this on stackoverflow but want to get your recommendations as well as a user on overflow recommended I post it here. I'm going to say from the beginning that I am not a programmer, I have a ...
0
votes
1answer
51 views

Create association between informations

I deployed a project some days ago that allow to extract some medical articles using the results of a questionnaire completed by a user. For instance, if I reply on questionnaire I'm affected by ...
3
votes
1answer
263 views

Can symbolic AI 'learn' a data model?

Perceptrons, a simple form of supervised machine learning, must be trained with a set of known good inputs before they can "learn" by adjusting internal weights assigned to inputs, based on the ...
3
votes
5answers
2k views

Are neural networks the best approach to artificial intelligence and machine learning? [closed]

I enjoy learning about artificial intelligence techniques What other techniques are useful for AI and machine learning other than neural networks?