Optical neural network: Difference between revisions

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An '''optical neural network''' is an implementation of a [[neural network]] model with [[photonics|optical components]]. One possibility is the Hopfield neural network[http://www.opticsinfobase.org/abstract.cfm?id=78568][http://nr.stic.gov.tw/ejournal/ProceedingA/v24n1/73-78.pdf]
 
There is one recent (2007) model of Optical Neural Network: the Programmable Optical Array/Analogic Computer (POAC). It had been implemented in the year 2000 and reported based on modified Joint Fourier Transform Correlator (JTC) and Bacteriorhodopsin (BR) as a holographic optical memory. Full parallelism, large array size and the speed of light are three promises offered by [[POAC]] to implement an optical CNN. They had been investigated during the last years with their practical limitations and considerations yielding the design of the first portable POAC version.
 
The practical details: hardware (optical setups) and software (optical templates) are published. However, POAC is a general purpose and programmable array computer that has a wide range of applications including: [[image processing]]; [[pattern recognition]]; [[target tracking]]; [[real-time video processing]]; [[document security]]; and [[optical switching]].
 
==External links==