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Neural Network Project Ideas

 

Neural Network Project Ideas
scalt

7 May, 2009 - 07:26 PM
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Hi

I have to do an assignment over the next month and a bit that involves coming with an idea for a good neural network project and then implementing that. I'm probably going to use python (and numpy) but MATLAB is also a possiblity.

Right now I'm kind of stuck on the idea for my project so if anyone out there has a few cool ideas about stuff you could build a neural network to solve/do then I'd love to hear them.

Previous years' projects included a paper/scissors/rock AI and a horse racing predictor.

Any/all suggestions welcome

This post has been edited by scalt: 7 May, 2009 - 07:28 PM

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scalt

RE: Neural Network Project Ideas

18 May, 2009 - 04:56 PM
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For anyone who comes here looking for ideas/is directed here by a search engine the project I am attempting is:

To create a neural network 'farm' where a group of networks is created with random weights which are then assessed for accuracy (with training data). The ones with the lowest error will be 'bred' to create offspring (with a possibility of mutation) and the whole process will start gain. I am hoping this will prove to be a faster/more efficient way of training neural networks as opposed to standard 'back propagation'.
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Armanian

RE: Neural Network Project Ideas

20 May, 2009 - 11:43 AM
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Well the thing that came to my head when reading your posts is that you could create a neural network design that would be competant at performing sudoku puzzels.

Its probably easy to think about it but im sure creating a sudoku puzzel that a computer truely excels at would be some what of a challenge, especially since sometimes some sudoku puzzels require guessing.
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Predictor

RE: Neural Network Project Ideas

26 May, 2009 - 04:26 AM
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QUOTE(scalt @ 7 May, 2009 - 07:26 PM) *

I have to do an assignment over the next month and a bit that involves coming with an idea for a good neural network project and then implementing that. I'm probably going to use python (and numpy) but MATLAB is also a possiblity.

Right now I'm kind of stuck on the idea for my project so if anyone out there has a few cool ideas about stuff you could build a neural network to solve/do then I'd love to hear them.

Previous years' projects included a paper/scissors/rock AI and a horse racing predictor.



Image-related projects are nice because the result is something one can actually see. For instance, I built a classifier which distinguishes "foliage" (leaves, grass, etc.) from "non-foliage", at the pixel level (Pixel Classification Project - image links are down as of this writing). When the model is run over a new image, the result is a new image which is black where pixels are predicted to be "non-foliage" and white where pixels are predicted to be "foliage". Intermediate levels of response are indicated by shades of gray.

Skin detection is a popular topic of research, both commercially and academically. You could also try to discriminate among things which appear in common photographs like vacation snapshots, such as pavement, sky, etc.


-Will Dwinnell
Data Mining in MATLAB
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msaidins85

RE: Neural Network Project Ideas

26 May, 2009 - 06:33 PM
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Not much in this world can understand how NN operate and task complete. Good luck for u'r project.
during my study,NN project i was build is like Tp predict best keyword for search engine. But not much NN project i've do.
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eburger

RE: Neural Network Project Ideas

16 Jun, 2009 - 10:50 PM
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QUOTE(scalt @ 18 May, 2009 - 04:56 PM) *

For anyone who comes here looking for ideas/is directed here by a search engine the project I am attempting is:

To create a neural network 'farm' where a group of networks is created with random weights which are then assessed for accuracy (with training data). The ones with the lowest error will be 'bred' to create offspring (with a possibility of mutation) and the whole process will start gain. I am hoping this will prove to be a faster/more efficient way of training neural networks as opposed to standard 'back propagation'.


I did a similar thing in my evolutionary programming classes. We built a Neural Network for controlling a robot that was to explore rooms as fast as possible (the rooms being 5x5 grids with randomly blocked cells) and we used a Genetic Algorithm to evolve/"breed" our NN. The results were pretty good. I cannot remember off the top of my head if it is proven that using this combination comes up with better results than back propagation but it sure is a lot more fun to do smile.gif

Erik
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