Motorola Corporation

Chuan-Chang Hung

William C Anderson

Meltin Bell

Larry Yiucham Kan

In an optical character recognition application, training sets of optimized moment invariant character data (801) are used to evaluate fuzzy logic systems (803) modeled with parameters produced through the use of a genetic algorithm (802). The fuzzy logic systems (803) are evaluated (807) and given a score to input back into the genetic algorithm (802), which uses the score in a reproduction process (104) to produce new chromosomes (105) for reinsertion into the fuzzy logic system models (803). Each of the chromosomes may contain both membership function representations and representations of the rules of the fuzzy logic system.

Genetic algorithm for constructing and tuning fuzzy logic system

A method and apparatus for moving data in a parallel processing system (3). In one embodiment, a single instruction accesses one significant bit of information from each element in processing element array (80) and combines these bits into one designated element in global register file (50). The ordering of bits in vectors of global register file (50) associates each bit with an element of processing element array (80). Another single instruction distinguishes significant bit information from a particular vector in global register file (50) and transfers that information to an associated bit in storage circuits associated with each element in processing element array (80).

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Austin, TX, United States of America

Chuan-Chang Hung