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To: CJ who wrote (53855)	9/25/1998 12:29:00 PM
From: ViperChick Secret Agent 006.9	Read Replies (1) \| Respond to of 58727

CJ tradepbs.com PBS was cheap and HORRIBLE..but I havent tried them since they became affliated with Dreyfuss if you are flipping then execution and notification....are important and that used to be one problem with pbs I have seen alot of recos on threads for Brown ------------ for those of you that have looked at neural nets .... from the omega list NN = Neural Network NN by Genetic Algo = NN trained by a Genetic Algorithm Backpercolation NN = Proprietary method to train these NN (Originator: Mark Jurik) NN algorithms = The structure of the neuron synapses, if you want ( dozens of variants). How neurons are connected to the others if you prefer. Thisis the structure of the artificial "brain" coded into computer language. Kohonen Nets= NN that makes classification. Also known as LVQ (LinearVector Quantization) or unsupervised learning. recursive nets = NN where connections are made from the output(s) to the intermediary inputs. Difficult to explain without a chart. The idea is to reinject a part of the answer produced by some neuron into the inputs slab that feds the neurons. Several structures also... GRNN = General Regression NN (by Dr Donald Spech) PRNN Nets = Probabilistic NN (by Dr Donald Spech) NN evolved by GA = NN trained and build by use of a genetic algorithm. multidimentional Nets, Proprietary NN where all neurons are or can be connected (no slabs), like in your brain. Scorecards, A calssification method that gives a ponderation to an input according ti its membership to the cell it belongs to. Notes are summed and compared to a threshold value. This technique is widely used in credit permission (Now, you know why your bank asked how old you are, if married , how many chikdren and so on. It to fed a Scorecard and accept the credit or reject it if your global note is below the threshold). Rule bases, = Decision tree (if A then do else if B the do else ifC then do , and so on , with multiple branchs (like a tree) ). all evolved by very sophisticated GA = Build by a top notch genetic algorithm. There are a lot of variants in this technique, and what we have used was the best of the technology available at this time, far beyond the classical way to use GA operators). neurofuzzy logic = A mix of fuzzy logic and NN. More in depth explanation on www.sirtrade.com RMSE error = Root Mean Squared error. It's the prediction error obseerved when running the predictor (a NN is a pedictor, a scorecard is an other) on data. evaluation function = Used with GA techniques . When evolving solutions , you need to give them a value , accorfding to the goal to reach (could be net profit for a trading system). Then this allow to discard some soutions, to mate soe other preferentially , and so on. We also use this with neurofuzzy logic. You do not need to know all of this to use a modern AI software.... Sincerely, Pierre Orphelin

To: CJ who wrote (53855)	9/25/1998 11:20:00 PM
From: edward miller	Read Replies (1) \| Respond to of 58727

I recommend Brown & Co because you can trade either on line or by calling a broker. I buy stocks, so I don't know their option commissions off the top, but you can buy stock at the market for $5 and at your price for $10 when talking to a broker (order taker). On-line is the same or less. I know they have on-line trading but I don't use it. My preference is to know the execution price immediately, and from a person on a recorded line. You know where you are that way - no mistakes. Ed