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Weather prediction using a genetic memoryKanaerva's sparse distributed memory (SDM) is an associative memory model based on the mathematical properties of high dimensional binary address spaces. Holland's genetic algorithms are a search technique for high dimensional spaces inspired by evolutional processes of DNA. Genetic Memory is a hybrid of the above two systems, in which the memory uses a genetic algorithm to dynamically reconfigure its physical storage locations to reflect correlations between the stored addresses and data. This architecture is designed to maximize the ability of the system to scale-up to handle real world problems.
Document ID
19920002372
Document Type
Contractor Report (CR)
Authors
Rogers, David (Research Inst. for Advanced Computer Science Moffett Field, CA, United States)
Date Acquired
September 6, 2013
Publication Date
February 1, 1990
Subject Category
METEOROLOGY AND CLIMATOLOGY
Report/Patent Number
NAS 1.26:185448
NASA-CR-185448
RIACS-TR-90-6
Funding Number(s)
CONTRACT_GRANT: NCC2-387
CONTRACT_GRANT: NCC2-408
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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