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3
votes
1answer
116 views

Why my Neural Network Accuracy is 100%?

I wanna ask about Neural Network. I have a research and programming about Neural Network using Backpropagation algorithm for prediction. My input data using binary form. But, i'm still confuse, ...
1
vote
0answers
31 views

How do you feed sets of connected data elements to an artificial neural network?

I'm currently working on a neural network to try to predict movements of electricity prices in a big city with multiple power companies to choose from. I know from a friend in the industry that power ...
4
votes
2answers
107 views

Neural networks: No solutions for test data possible?

So there are two ways of teaching a neural network as far as I am aware of. You supply the AI with test data and the correct solution to the problem. After some time the network will be able to get ...
4
votes
2answers
323 views

What are the practical uses of a neural network?

Even as an outsider to neural network development, they still seem to be a hot topic... I get lots of projects I see being starred on my GitHub homepage relating to neural networks. These projects ...
2
votes
1answer
67 views

Vector input for Artificial Neural Network?

My problem is fairly complex, so here is a similar, simplified example. Let's say you wanted to predict the Miles Per Gallon (fuel consumption) of a car, based on the following information: you have ...
0
votes
0answers
31 views

Is sparsity parameter really useful?

To make a sparse autoencoder,one way is add something to the function we want to minimize,which the further do average activity of hidden units to a sparsity parameter,the bigger your added thing will ...
3
votes
1answer
100 views

How can you write an activation function in a neural network to handle a layer architecture of arbitrary dimensions?

I am making a neural network in Clojure that can take an array of integers,and return a data structure representing the layers of a neural network: so (make-layers [1 4 5]) would evaluate to: [[0] ...
22
votes
4answers
2k views

Calendar/Planning algorithm

I'm facing a problem I'm not sure how to approach. I have to generate a calendar for employees, each of them having specific work constraints (some personal, some common) What I'm working with : I ...
2
votes
1answer
84 views

To what values should you initialize the neurons and connection strengths in a neural network?

The values of all of the neurons in my neural network are initialized to 0 and the connection strengths between the neurons are set to randomly generated floats, between 0 and 1. I have seen other ...
4
votes
2answers
335 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 ...
1
vote
1answer
162 views

An Introductory Tutorial for Neural Net Backpropagation with Simplified Math

I built a neural net, and planned on optimizing the weights using a genetic algorithm. I was informed though, that this isn't a good idea, and to look into backpropagation. I searched around, and ...
2
votes
1answer
195 views

Is the output of a neural net supposed to have had the activation function applied to it?

TL; DR: Is the output from a feed-forward neural a direct result of the activation function? I.e: If the activation function is the sigmoid function, will the output always be between 0 and 1? I'm ...
1
vote
0answers
57 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 ...
6
votes
5answers
516 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 ...
2
votes
0answers
63 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 ...
1
vote
2answers
390 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, ...
11
votes
4answers
8k views

What is a Neural Network in simple words [closed]

Can you please explain neural networks in simple words with an example?
2
votes
1answer
230 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
201 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 ...
1
vote
4answers
1k 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 ...
0
votes
2answers
103 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
166 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 ...
5
votes
2answers
332 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 ...
1
vote
1answer
61 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
1k 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
146 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 ...