Self organizing adaptive replicate (SOAR)

Image analysis – Histogram processing – For setting a threshold

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395 21, 395 20, 382157, G06E 100, G06E 300, G06F 1518

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active

055985106

ABSTRACT:
A self-organizing adaptive replicated (SOAR) for creating a replicate of human expert behavior. The SOAR can be embedded invisibly within multiple types of systems to observe, adapt and grow to emulate a user's interactive behavior and performance level. The system yields near equivalent responses to near equivalent stimuli in real time. The SOAR is based on a three layer perceptron type architecture which guarantees arbitrary M to N mapping of continuous valued spaces. The architecture uses a competitive, additive, and layer independent learning rule which insures excellent rapid learning. A self-organizing, adaptive algorithm permits the SOAR to adapt to the true classification space. The SOAR has applications in areas such a speech recognition, target detection, pattern recognition of multi-feature data, electro-mechanical subsystem control and resource allocation and optimization.

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patent: 5408424 (1995-04-01), Lo
Lu, "Pattern classification using self-organizing feature maps"; Nueral Networks, 1990 IEEE International conference, pp. 471-480, 1990.
Mann et al, "A self-organizing Neural net chip"; Custon Integrated Circuits conference, 1988, pp. 10.3.1-10.3.5, 1988.

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