V. 11:14 (607-609): HNeT Discovery Package Version 1.3 by Lou Mendelsohn
Product Description
HNeT Discovery Package
Version 1.3
by Lou Mendelsohn
AND AMERICA LTD.
2140 Winston Park Drive, suite 202
Oakville, Ontario, Canada L6H 5V5
Phone: 905 829-0788
Fax: 905 829-0790
Product: Windows application designed to create, train and test neural networks using holographic neural technology.
Equipment requirements: IBM compatible with an 80386 or higher processor. A 80387 math coprocessor recommended for 80386 or 80486 SX processors. 4 megabytes RAM required and minimum megabytes of hard drive space. VGA/XGA display adapter and monitor. Microsoft Windows 3.0 or higher; Microsoft-compatible mouse. Printer recommended but not required.
Price: $295.
The neural network system most frequently used for financial forecasting is the feedforward back-propagation network that is offered in most commercial neural network development tools such as BrainMaker and NeuralWorks. While this system has been successfully applied to a wide range of tasks, its training time on complex problems such as financial market forecasting can be considerable. Toward fulfilling the goal of reducing training time, a new development tool called HNeT Discovery Package sports a network paradigm referred to as holographic neural technology. Through the use of this system, HNeT finds near-optimal solutions in substantially less training time than back-propagation networks on similar applications. In addition, HNeT contains several other features of interest to neural network developers.
AND AMERICA LTD.
2140 Winston Park Drive, suite 202
Oakville, Ontario, Canada L6H 5V5
Phone: 905 829-0788
Fax: 905 829-0790
Product: Windows application designed to create, train and test neural networks using holographic neural technology.
Equipment requirements: IBM compatible with an 80386 or higher processor. A 80387 math coprocessor recommended for 80386 or 80486 SX processors. 4 megabytes RAM required and minimum megabytes of hard drive space. VGA/XGA display adapter and monitor. Microsoft Windows 3.0 or higher; Microsoft-compatible mouse. Printer recommended but not required.
Price: $295.
The neural network system most frequently used for financial forecasting is the feedforward back-propagation network that is offered in most commercial neural network development tools such as BrainMaker and NeuralWorks. While this system has been successfully applied to a wide range of tasks, its training time on complex problems such as financial market forecasting can be considerable. Toward fulfilling the goal of reducing training time, a new development tool called HNeT Discovery Package sports a network paradigm referred to as holographic neural technology. Through the use of this system, HNeT finds near-optimal solutions in substantially less training time than back-propagation networks on similar applications. In addition, HNeT contains several other features of interest to neural network developers.
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