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ADA233 520PROGRAMMABLE OPTICAL QUADRATIC NEURAL NETWORKSFinal Technical Report on AF OSR Grant 880064 December 1, 1987, November 30, 1990by John F. Walk up and Thomas F. Krill Principal InvestigatorsOptical
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Identify the variables in the optical system that need to be programmed.
02
Determine the desired quadratic neural network architecture and parameters.
03
Write a program to encode the desired parameters into the optical system.
04
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Programmable optical quadratic neural refers to a type of neural network that utilizes optical components to process information, enhancing computational efficiency and speed through parallel processing and unique signal modulation methods.
Typically, researchers and developers involved in optical computing and neuromorphic engineering are required to document and file data pertaining to programmable optical quadratic neural systems in relevant research or industry frameworks.
Filling out the programmable optical quadratic neural typically involves providing detailed specifications of the system architecture, experimental setups, performance metrics, and outcomes of the implemented neural network.
The purpose of programmable optical quadratic neural networks is to achieve efficient computation, allowing for complex problem-solving capabilities in applications like pattern recognition, signal processing, and artificial intelligence.
Information required typically includes system design details, input-output function mappings, performance evaluations, and any modifications made during experimentation or implementation phases.
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