Article Archive For Keyword: Networks by

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• Neural Networks by Wolf von Rönik

  ARTICLE SYNOPSIS...Neural Networks by Wolf von Rönik Think neural networks are too difficult a concept to learn? They're not. Take a look. In a broad sense, neural nets are computer models that attempt to mimic the "wetware" or actual physiological structure and function

AUTHOR: Wolf von RönikDATE: APR 2003

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• Option Strategies and Neural Networks by Thomas B. Rubino Jr.

  ARTICLE SYNOPSIS...Option Strategies and Neural Networks by Thomas B. Rubino Jr. Confidence intervals are a statistical tool that describes the accuracy of a prediction, while neural networks provide predictions. This article combines the two to define the risk in a trade

AUTHOR: Thomas B. Rubino Jr.DATE: SEP 1996

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• Preprocessing Data For Neural Networks by Lou Mendelsohn

  ARTICLE SYNOPSIS...Preprocessing Data For Neural Networks by Lou Mendelsohn Today's global markets demand new analytical tools for survival and profit as prevailing methods of analysis lose their luster. Here, Stocks & Commodities contributor Lou Mendelsohn explains how a

AUTHOR: Lou MendelsohnDATE: OCT 1993

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• Training Neural Networks by Lou Mendelsohn

  ARTICLE SYNOPSIS...Training Neural Networks by Lou Mendelsohn The application of neural networks to financial forecasting has quickly become a hot topic in today's globalized trading environment. With extensive technical, intermarket and fundamental data available for ana

AUTHOR: Lou MendelsohnDATE: NOV 1993