scholarly journals Design and Implementation of Novel Artificial Neural Network Based Stock Market Forecasting System on Field-Programmable Gate Arrays

2011 ◽  
Vol 8 (10) ◽  
pp. 1054-1060 ◽  
Author(s):  
Amin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Stock Market ◽  
Field Programmable Gate Arrays ◽  
Gate Arrays ◽  
Design And Implementation ◽  
Stock Market Forecasting ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Forecasting System

HARDWARE IMPLEMENTATION OF A NEW ARTIFICIAL NEURON

2005 ◽  
Vol 15 (06) ◽  
pp. 427-433 ◽  
Author(s):  
RICHARD LABIB ◽  
FRANCIS AUDETTE ◽  
ALEXANDRE FORTIN ◽  
REZA ASSADI
Keyword(s):  
Neural Network ◽  
Hardware Implementation ◽  
Field Programmable Gate Arrays ◽  
External Temperature ◽  
Artificial Neuron ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
New Type ◽  
Software And Hardware

This paper describes an FPGA (Field Programmable Gate Arrays) implementation of a new type of neuron, the Quantron. The goal is to demonstrate the capability of current technology to closely recreate the human body's reaction to a change of temperature. This is accomplished by creating a function that adds a number of kernels at different frequencies depending on the external temperature. Once the sum of the kernels reaches a certain threshold, the artificial neural network, equivalent to its biological counterpart, "reacts" by sending a specific output signal designed to trigger a response. The various elements of each subsystem are discussed and implemented in software and hardware. The results are analyzed in terms of accuracy and efficiency compared to the biological equivalent.

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