Neural networks

Reply #21

KnuckleHead — Mon, 27 Apr 2009 12:47:42 GMT

I have found several PDF files on line, downloaded, and read thru them.

There's one I'm really interested in that describes checking to see if a lottery draw is actually random . No results were included, but they said that the formulas checked out correctly. I'm attempting to understand it (to many letters an formula markers) and see if it could be used (with tweaking) to anticapate next draws. But there are several PDF files on line, it takes time to read thru them all, then try to figure o... [ More ]

Reply #20

Newb — Sun, 26 Apr 2009 07:10:59 GMT

That's why I like Bayesian Theorem, its so simple to understand. But finding rules that fit the thoery is hard work but worth it.

Reply #19

KnuckleHead — Fri, 24 Apr 2009 13:28:57 GMT

Raven62,

I have read your post about Bayesian .

I've never heard the term so I googled to find out what you were talking about . Then I did some searching. After quite a bit of reading, I believe your onto something. I agree, it'll take a lot of work to implement that type of system. The formulas alone are why above my gray matter. But with that being said, written and programed properly, it could provide results... I'll keep reading...

Reply #18

ca-dreamin* — Thu, 23 Apr 2009 01:36:15 GMT

Sounds really interesting not to mention ALOT of trial and error but if you can figure this out and make these networks work you'll be way ahead of the game!

As for the weighted average of numbers this had me thinking......I was curious if anyone does or has in the past given the numbers some sort of rating(not sure if this is the same as or similar to a weighted average) in determining what numbers to play?

For example......Let's say the numbers 5.17.22.28.31 came out in Little lotto. The... [ More ]

Reply #17

Raven62 — Tue, 21 Apr 2009 13:38:45 GMT

What Does Weighted Average Mean?

An average in which each quantity to be averaged is assigned a weight. These weightings determine the relative importance of each quantity on the average. Weightings are the equivalent of having that many like items with the same value involved in the average.

=SUMPRODUCT(A2:A3,B2:B3)/SUM(B2:B3

Reply #16

time*treat — Tue, 21 Apr 2009 10:20:53 GMT

With specific regard to the weighted average question; most of the time, at least one of the numbers will perform within its expected average -- often enough to be noticeable -- in retrospect.

Spent some time reading this, the other day, http://en.wikipedia.org/wiki/Ant_colony_optimization

I think p3/p4 games act differently than p5/p5+1/p6 games. Might want to specify which games we're looking at, for a particular method.

Reply #15

GASMETERGUY — Tue, 21 Apr 2009 09:51:08 GMT

After sprending the last three days reading what I could understand about Neural Networks, I feel there might be something here worth pursuing. From what I can gather, the impossible part is determining which patterns to employ ( relative to the lottory, of course ).

What these networks boil down to is finding a weighted average that will be correct most of the time ( with emphasis on most ). Has anyone tried to find a weighted average for the numbers? If so, what did you discover

Reply #14

LANTERN — Tue, 21 Apr 2009 02:30:34 GMT

A long time ago I took a look at the Attrasoft Predictor, but only a quick look, the demo was said to have only 1000 Neurons my testing showed to me that 1000 neurons were too few for even one position pick 3 prediction, but it looked as if 100, 000 to 1, 000, 000 might be able to help some as you then might get better prediction resolution (Accuracy) and that it might not help for just any kind of prediction and or lottery prediction, but for some and at times, but not always, it might depend o... [ More ]

Reply #13

ca-dreamin* — Mon, 20 Apr 2009 19:32:16 GMT

Oh boy! When I read your post about bee and ant algorithms.......the first thing that popped into my head was getting stung on the nose by a bee and then the ant movie where the ants are in line doing their thing. A leaf falls in their path and they panic. They all stop and don't know what to do.

Then I thought about all the different ideas that keep popping into my head and how I can apply them to the lottery. LOL here's some examples.....

I was reading a book about tarot cards and the bo... [ More ]

Reply #12

Newb — Mon, 20 Apr 2009 17:21:09 GMT

Haha I remember VRA.

However, I'm more sold on Bayesian Systems. You just need find as many rules, as opposed to numbers, that have greater probability and are more likely to be true.

Reply #11

Raven62 — Mon, 20 Apr 2009 15:07:18 GMT

What types of Expert Systems are there?

1-Bayesian Belief Networks

2-State Machines

3-Backward and Forward: Chaining Inference Engines

4-Case-Based Rules

5-Fuzzy Logic Algorithms

6-Neural Networks

Neural Networks

Neural networks have to do with distributed computing. Instead of having a single processor doing all the work in sequence, you have a bunch of processors doing the work at the same time, and then share the results with the other processors.

Neural... [ More ]

Reply #10

diamondpalace — Mon, 20 Apr 2009 05:04:01 GMT

Go for it. Whatever new way to look at the lottery will benefit your game play.

Reply #9

time*treat — Mon, 20 Apr 2009 03:29:49 GMT

As your 401-k becomes uh-oh, no-way , you have to expand your horizons a bit.

Here's what Raven62 was aiming at... https://www.lotterypost.com/thread/113989/391541

Reply #8

edge — Mon, 20 Apr 2009 03:05:53 GMT

in principle it should be possible to codify all different models present on the lottery post by all members, and build complex (but finite) neural network matrix, train it via predictions/results iterations, instruct it to favour best fit and eject non-performers, neural network, if created properly will with certainity arrive with best models based on mathematical odds, such as play pick 3 lottery, or play pairs in pick 4 lottery, because the best performers will fall in those 2 games with cer... [ More ]

Reply #7

ca-dreamin* — Mon, 20 Apr 2009 01:35:01 GMT

AAWW Gasmeterguy I meant no harm. I don't even know what neural networks are. My reply was in reference to myself....... as the more theories and ideas that are presented on LP.........the more I find myself coming up with new ideas of my own. And if you knew what some of those ideas were hahaha you would probably laugh at me.

It's as though I go thru each day looking at everything in a whole new way......i.e. how various things can be applied to the lottery and if they can help me find a bet... [ More ]

Reply #6

Raven62 — Sun, 19 Apr 2009 21:20:57 GMT

Maybe this will be of interest:

https://www.lotterypost.com/thread/113989/391541

Reply #5

GASMETERGUY — Sun, 19 Apr 2009 17:23:12 GMT

Precisely my point only I am not being funny. As there is no definitive answer to randomness at this point in time, we have to look at everything and see if the principles involved can be applied to the lottory.

Case in point: For hundreds of years no mathematician could chart for you the path of comets. Then along came Mr. Newton and his Calculus. Edmund Halley, using Calculus, then determined that the comet named after him returned to this vicinity of the universe every 75 years and has bee... [ More ]

Reply #4

pick4hawk — Sun, 19 Apr 2009 15:34:32 GMT

yes I do use them.

Its not worth time for daily games.

Look at it like this reverse node back tracking.

after all you set the rules as were to look for in history.

Reply #3

ca-dreamin* — Sun, 19 Apr 2009 13:54:17 GMT

Isn't it funny how we try to take everything and see how it fits into the lottery

Reply #2

time*treat — Sun, 19 Apr 2009 05:28:04 GMT

Interesting. I was just reading about bee and ant algorithms the other day and wondering how they could be applied.

Reply #1

MillionsWanted — Sun, 19 Apr 2009 01:01:30 GMT

If the lottery is not random enough they might be able to find a pattern if not, it's just like guessing.

The network type that seems to work best is an algorithm from GMDH which is used by aiLotto and Ward Systems Group.

aiLotto claim their lottery software it is able to predict one line with 3/6 in every fourth draw. I don't own the software myself.

Neural networks

GASMETERGUY — Sun, 19 Apr 2009 00:15:46 GMT

Has anyone experimented with neural networks?

If so, what was your experience. I am just now entering the world of neural networks and have idea whether my time will be wasted or well spent. I am hoping a LP member will offer a few suggestions.

Thamks