Al Pintoy and Jonathan Wood
Advisor: Dr. Gary Dempsey
Neurons networked in the brain are what process many pieces of information
and help the brain reach a solution to a particular problem. In this project,
we have developed a neural network approach to analog to digital conversion.
Our network architecture utilizes feedback from the outputs of each neuron
as inputs to all the other neurons. Based on the information contained
in the feedback, the network will converge so that an optimum solution
will be reached. In other words, all of the neurons know what each of the
other neurons are doing. Therefore the digital output will converge to
a decision which comes close to the analog input. Due to the feedback,
there will be several advantages of the neural network A/D converter over
a conventional A/D converter including speed, resolution and stability.
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