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Microbridge Rejustor™ Design Challenge Official Entry |
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Title: |
Programmable and Adjustable Hardware Based Neural Network |
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Abstract: |
Neural networks are extensively used in data analysis and classification in many applications. They can often produce the input-output characteristics of complex systems that simple rule based algorithms can not achieve. These neural networks can be created using resistors and other physical components, but due to the need for accurate tuning and adjustment, these physical networks have not been practical until now. The Rejustor™ provides the high precision and adjustability to make these physical neural networks feasible. |
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Submitted By: |
tarler |
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Submitted On: |
12/31/2007 |
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Total Views: |
658 |
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