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Record Details

Record 67 of 74848
Multi-channel holographic birfurcative neural network system for real-time adaptive EOS data analysis
Author and Affiliation:
Liu, Hua-Kuang(Jet Propulsion Lab., California Inst. of Tech., Pasadena, CA, United States)
Diep, J.(Jet Propulsion Lab., California Inst. of Tech., Pasadena, CA, United States)
Huang, K.(Jet Propulsion Lab., California Inst. of Tech., Pasadena, CA, United States)
Abstract: Viewgraphs on multi-channel holographic bifurcative neural network system for real-time adaptive Earth Observing System (EOS) data analysis are presented. The objective is to research and develop an optical bifurcating neuromorphic pattern recognition system for making optical data array comparisons and to evaluate the use of the system for EOS data classification, reduction, analysis, and other applications.
Publication Date: Jul 24, 1991
Document ID:
19930020042
(Acquired Dec 28, 1995)
Accession Number: 93N29231
Subject Category: DOCUMENTATION AND INFORMATION SCIENCE
Document Type: Conference Paper
Publication Information: NASA. Washington, Applied Information Systems Research Program Workshop; p. 4 p
Publisher Information: United States
Financial Sponsor: NASA; United States
Organization Source: Jet Propulsion Lab., California Inst. of Tech.; Pasadena, CA, United States
Description: 4p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: No Copyright
NASA Terms: DATA INTEGRATION; DATA REDUCTION; EARTH OBSERVING SYSTEM (EOS); NEURAL NETS; OPTICAL DATA PROCESSING; PATTERN RECOGNITION; BRANCHING (MATHEMATICS); CLASSIFICATIONS; HOLOGRAPHY; LIGHT MODULATION; REAL TIME OPERATION
Imprint And Other Notes: In NASA. Washington, Applied Information Systems Research Program Workshop 4 p (SEE N93-29222 11-82)
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