A.N.N.'s : SharkyNN

Reply #12

Delta Draw — Sun, 03 Jan 2010 09:14:26 GMT

Been digging around on the net again on AI. It's an annual thing. Looking for content I can follow along and got many repeat lessons. A NN would be great to train and look at data but the feed-forward thing is another animal. Maybe conditional logic is not the way to go.

Many likely use a IF-THEN and a noodle network (organic) trying to come to the answer to the THEN in selecting number sets or digits to play. There are many trends to follow in different ways and interactions of trends within... [ More ]

Reply #11

jwhou — Fri, 01 Jan 2010 15:39:00 GMT

The thing to remember is that a neural network and genetic programming doesn't involve theorizing in their search for solutions hence it's a far broader search and more apt to develop superstitions rather than find actual relationships if the data is sufficiently random. A neural net intended to recognize tanks hiding in foliage wound up basing it's judgement on whether or not the photograph was well lit, it turned out that of the photos used to train the net, the ones without a tank were taken... [ More ]

Reply #10

jwhou — Thu, 31 Dec 2009 01:09:05 GMT

That's actually a brilliant idea. With a neural network, the mutation can be applied on a very fine grained basis yet the probability of still having a functional net is very high while with normal GP approaches you need to keep the granularity large in order to assure some functionality. Should work great.

Reply #9

Delta Draw — Wed, 30 Dec 2009 22:20:46 GMT

Awesome JW!

Thank you, I was wondering much about the two and not quite sure about what was similar and what was different. I needed more input, and an insight from someone who has a scope of the topic. Now, what do you think about NN's that have some kind of GP feature you can tune to get a better fit? I may have to reread your posts but I think I am keeping up with you. It's not like one can strike up a conversion like this the average publican or pedestrian.

DD

Reply #8

jwhou — Wed, 30 Dec 2009 19:15:38 GMT

Genetic programming is really more a matter of automated programming using the concepts of mutation and natural selection, or as is the case unnatural selection. Basically a mechanism is created for creating diversity, this is usually mutation but it could also be code swapping, regardless a definition of the granularity at which you want the code modified needs to be made, usually in blocks of code but it can extend all the way down to individual commands, there is also the concept of insertion... [ More ]

Reply #7

Delta Draw — Wed, 30 Dec 2009 18:02:53 GMT

Yep, it's just a pretty thing to look at. The old neural noodlework is hard to beat until there is a Skynet.

Just when I was getting mine configured, I get a braincloud!

DD

Did you hear the one about the constipated mathematician

Reply #6

Delta Draw — Wed, 30 Dec 2009 17:55:02 GMT

WoW! right-on JW!

I have been trying to expand my noodle network about this stuff but it is to be honest, evasive. SharkyNN really is well designed software, very clean and with the exception of no manual is very nice. Just another stepping stone for me. Every year I learn a little more about the whole topic. How would you classify NN's and GP (Genetic Programming)?

This is an honest question, not a test.

DD

Reply #5

jwhou — Wed, 30 Dec 2009 16:05:59 GMT

Neural Networks is really about information representation, the connections of neurons itself is just expressed as a matrice and it's simple vector calculations to run the net. With lottery numbers, there would be the issue of how you represent each number, would you use a set of six neurons and represent the numbers in binary in which case the neural net essentially makes six 1 or 0 predictions for each number, would you represent each number individually with a neuron thereby avoiding any inte... [ More ]

Reply #4

RJOh — Tue, 29 Dec 2009 18:13:18 GMT

ANN's may better serve the user in looking for patterns amidst many data inputs and variables too complex for human evaluation or, in seeking those patterns not easily revealed in much data.

DD

I gather from your last post a human evaluating lottery data would probably do better using a pencil than this software.

Reply #3

Delta Draw — Tue, 29 Dec 2009 08:13:12 GMT

Yes I can.

Q1:It it EDUCATIONAL software.

What did you learn?

Q2: Number prediction?: Impossible. It has as much abiity to predict numbers as a pencil does.

Welcome

DD

Reply #2

PlraX — Mon, 28 Dec 2009 17:35:23 GMT

http://sharky-neural-network.software.informer.com/

this is the URL FOR THAT software

how we can use this software FOR LOTTERY PRUPOSES? its to complicated of use how we can use

Reply #1

alikirca20 — Mon, 28 Dec 2009 16:57:05 GMT

Can you give an example about using this program. How can we take advantage of this program for prediction of numbers. Thanks.

A.N.N.'s : SharkyNN

Delta Draw — Mon, 28 Dec 2009 05:46:24 GMT

SharkyNN is a free program to give the user a visual seat-of-the-pants insight to training and testing an Artificial Neural Network.

I like the XOR feature for a visual fit and a 3% error stop can be quickly had with few points of input. As opposed to a few years ago, there are many more affordable ANN products for the casual user and user friendliness is greatly improved. ANN's can exceed the human ability in the volume of data processed, but the simplicity and speed of organic decisions has... [ More ]