The tag has no wiki summary.

learn more… | top users | synonyms

1
vote
0answers
32 views

How to evaluate a recurrent connection in an artificial neural network?

I just can't understand how should I compute the output of a neural network, which contains a recurrent connection. So here is an example: (i_1,2 are the input values, w_1,2,3,r are the ...
0
votes
0answers
17 views

Distributed versus Sparse encoding for Neural Network Input

This is not a theoretical question, but an actual question which will reflect my implementation in C++ of a Knowledge Representation classifier. The intended ANN is in fact a binary RBM. My data, is ...
2
votes
0answers
50 views

What parallelization methods can make neural nets train faster?

A fairly straightforward way (on a theoretical level, at least) of parallelizing artifical neural networks (ANNs) would be to divy up the batches of training examples during every epoch so that ...
-2
votes
2answers
123 views

How would you structure your code for a Neural Network? [closed]

I understand how Artificial Neural Networks work. However, implementing one in code is quite another thing. How would you go about designing the classes and data structures? I found one great ...
2
votes
1answer
117 views

What type of neural network is suitable for simulating brain of virtual organism? [closed]

A while ago I was experimenting with evolving virtual creatures using neural network + genetic algorithm, but that didnt go well (simulation speed was too slow, mainly because bad programming habbits ...
1
vote
0answers
79 views

Neural network converges to 0.5 for XoR

I'm coding a neural network in C for an OCR project. Before testing with character recognition, I'm making it learn the XoR operation. Although, the results I'n getting always converges to 0.5 instead ...
0
votes
2answers
99 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 ...
2
votes
1answer
148 views

Support Vector Machines as Neural Nets?

This is more of a conceptual question. I have learned about Neural Nets, and I have some clue as to how Support Vector Machines work. I read somewhere however that given the appropriate kernel (is ...
1
vote
2answers
298 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 pre-process it into the most convenient form you can algorithmically get to, ...
5
votes
2answers
305 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. ...
1
vote
1answer
1k views

How to design a calculator from scratch [closed]

A basic calculator can perform a wide variety of operations. How does the claculator 'get' the concept of adding two numbers in the same way a human does? I dont think people that make claculators ...
6
votes
5answers
485 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 ...
1
vote
1answer
59 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 ...
0
votes
2answers
892 views

Can neural network discover rng patterns

Can neural network find connections beetween numbers generated by random number generator without knowing about it's seed and predict this rng's next numbers with more sucess then randomly guessing? I ...
6
votes
1answer
141 views

How to determine the source of a request in a distributed service system?

Map/Reduce is a great concept for sorting large quantities of data at once. What to do if you have small parts of data and you need to reduce it all the time? Simple example - choosing a service for ...
1
vote
4answers
845 views

Sign Language Recognition [closed]

I am a final year undergraduate student of Information Technology. My team and I have taken up "Sign Language Recognition" as our Final Year Project. We have just started with it and we are in the ...
10
votes
4answers
6k views

What is a Neural Network in simple words [closed]

Can you please explain neural networks in simple words with an example?
3
votes
1answer
275 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 ...