Article Archive For
Lou Mendelsohn
Product Review: MATLAB Neural Network Toolbox by Lou Mendelsohn
AUTHOR: Lou MendelsohnDATE: 1994SUBJECT: Product Review
Neural Network Development For Financial Forecasting by Lou Mendelsohn
ARTICLE SYNOPSIS ...Neural Network Development For Financial Forecasting by Lou Mendelsohn
Extensive research has been conducted about the application of neural networks to financial forecasting in today's globalized trading environment. What makes this particular use of artificial intelligence so attractive to financial analysts and traders? Here, Lou Mendelsohn of Mendelsohn Enterprises highlights some of those issues and establishes goals for training neural networks.
With the advancements being made in computer and telecommunication technologies today, the
world's major economies and financial markets are ...
AUTHOR: Lou MendelsohnDATE: SEP 1993
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 an emerging method of synergistic market analysis can be applied to neural networks for financial forecasting and discusses how to select and combine various types of market information and transform the data into a format appropriate for neural network training.
With the rise of artificial intelligence technology and the growing interrelated m...
AUTHOR: Lou MendelsohnDATE: OCT 1993
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 analysis, neural networks are well suited to pattern recognition and quantifying relationships between interrelated markets. However, neural networks are not easy to develop. Here, S&C contributor Lou Mendelsohn examines the best ways to train and test neural networks for maximum performance.
Successfully developing neural networks to implement s...
AUTHOR: Lou MendelsohnDATE: NOV 1993
Using Neural Networks For Financial Forecasting by Lou Mendelsohn
ARTICLE SYNOPSIS ...Using Neural Networks For Financial
Forecasting
by Lou Mendelsohn
With this offering, STOCKS & COMMODITIES contributor Lou Mendelsohn concludes his examination of
neural networks for financial forecasting in today's globalized trading environment. Here, Mendelsohn
concentrates on implementation issues and discusses how neural networks should be utilized as part of
an overall trading strategy. Finally, he takes a brief look at the future of artificial intelligence
technologies to implement synergistic market analysis.
No discussion of the design, training and testing of neural networks could ...
AUTHOR: Lou MendelsohnDATE: DEC 1993
DynaMind Developer Version 3.0 by Lou Mendelsohn
AUTHOR: Lou MendelsohnDATE: 1993
Product Review: HNeT Discovery Package by Lou Mendelsohn
AUTHOR: Lou MendelsohnDATE: 1993SUBJECT: Product Review
The Basics Of Developing A Neural Trading System by Lou Mendelsohn
ARTICLE SYNOPSIS ...The Basics Of Developing A Neural Trading
System
by Lou Mendelsohn
As traders begin to experiment with and apply artificial neural systems to financial forecasting, there
are pitfalls to avoid in the design and training of these systems so this new technology can be used
effectively and profitably. If you want to develop a neural system to predict the Standard & Poor's 500
stock index (S&P 500) or the Dow Jones Industrial Average (DJIA) for the next day, for instance, you
would need to specify five factors: the output that you want to forecast, the input data requirements, the
type of neural ...
AUTHOR: Lou MendelsohnDATE: JUN 1991