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how to create neural networks to discover positional patterns in lottery?Reply
What is pattern recognition in a neural network? Pattern recognition is the process of recognizing patterns by using a machine learning algorithm. Pattern recognition can be defined as the classification of data based on knowledge already gained or on statistical information extracted from patterns and/or their representation. Go Google
Dec 2, 2020, 2:07 pm - Raven62 - Lottery Discussion Forum

Pick-games Cube-X NumbersReply
It can be tested anytime. But I have to warn you that back-testing doesn't really prove that it'll work in future because for example, the Neural Network method is like so right on past data because it is trained on past data but for the future it doesn't work like the past because nothing in paste will guarantee a certain outcome in future.
Oct 28, 2019, 9:42 am - cddvd - Lottery Systems Forum

Mathematics and the LotteryReply
Hi RL, I don't know whether this is just a joke or not, but here are some quotes from Deep Learning Predicts Loto.pdf (found by Google) The date was the 1st of April! Randomness is conceptually more interesting and cannot be reduced to few dimensions: a higher dimensional model is required. We would like to emphasize this point: even though the neural network in my brain can not identify the underlying structure of the data, the liberties given to the deep neural network giv
Jul 16, 2017, 11:54 pm - Spot9 - Mathematics Forum

What about Neural Networks?Reply
Thanks for your messages. I had been reading some of these posts, but I don t understand some things, so, I sent a new thread. These posts mention Neural Net lottery picker and precep lotron . Are they two different neural network softwares for prediction? I have been searching for them, for download but didn t find anything.
May 31, 2017, 8:17 pm - lottery-123 - Lottery Discussion Forum

Winhunter revivalReply
Hi! It would be great to convert the VisualBasic6 source code of winHunter into a Visual C# or Visual C++ source code for Visual Studio or Delphi. Please add a multi GPU feature to use multiple Video Graphics Card GPU processing Power to do the winHunter AI Neural Network calculations. Also add Multiple Networked Machine calculation which seemed to be already there. Please make an instruction video or an feature that will convert a regular .txt State Drawing History file to the winHunter's *REVE
Mar 16, 2017, 3:51 am - DanMath - Lottery Systems Forum

Neural Net Lottery PickerReply
Hi, I'd recommend that you read briefly on gradient descent and cost function for neural networks. Basically, about the error is not a human opinion, rather it is a mathematical fact for neural network which basically states that when the error is lower for a given output, the confidence levels are higher on the output being almost quite accurate. Its just a way of machine learning measuring that the output will be correctly predicted.
May 15, 2016, 8:52 pm - osmannica2001 - Mathematics Forum

About Lottonet Integra Xp-01Reply
It is impossible for a program to pick good numbers automatically. Every program I've ever tried were really terrible at it. They can however do mass calculations on based on a system you've created. Now how about Satori's Lotto Sorcerer which supposedly uses a neural network (simulated artificial intelligence) to look for non-standard patterns?
Mar 21, 2011, 12:32 am - mayhem - Lottery Systems Forum

Artificial IntelligenceReply
Be careful using this software! I could design a neural network that would predict winners with astonishing acuracy, provided you only tested it on the Draws used to Train it. It would revert to a mediocre 50/50 picker the moment you turned it loose on Draws it never saw before. Be sure to FORWARD TEST the parameters you develop on paper BEFORE you throw any real money at it.
Aug 23, 2010, 1:17 am - jimmy4164 - Mathematics Forum

A.N.N.'s : SharkyNNReply
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
Jan 1, 2010, 10:39 am - jwhou - Mathematics Forum

Indiana legislator attacks computerized lottery drawingsReply
Quote: Originally posted by Todd on February 4, 2005 Quote: Originally posted by MillionsWanted on February 4, 2005 I prefer to see the drawings take place on TV so I know how the numbers got picked.However, if I knew the computer draws could be trusted, I think it would be easier to predict numbers drawn from a computer than from a lottery ball machine.A computer will NEVER be totally random.It might be possible for a neural network to find pattern in a lottery where a computer has chosen the n
Feb 5, 2005, 6:07 am - MillionsWanted - Lottery News