Morgan Kaufmann Publishers Inc. / S. U. Designing Neural Networks / /
Currency
pence / / /
Facility
University of Michigan Press / James P. Rice Stanford University Knowledge Systems Laboratory / University of Michigan / University of California / /
IndustryTerm
linear processing element functions / neural networks / parallel mathematical algorithms / recurrent neural network / linear processing element / linear threshold processing function / feed-forward neural networks / gross national product / neural network / genetic algorithm / conventional genetic algorithm / linear threshold processing element / linear threshold processing elements / linear processing element function / symbolic processing / linear threshold processing / allowable neural networks / Genetic algorithms / symbolic solution / conventional genetic algorithms / search space / genetic classifier systems / /
Organization
University of Michigan Press / James P. Rice Stanford University Knowledge Systems Laboratory / Stanford University Stanford / Summer School / Stanford University / the University of Michigan / University of California / San Diego / /
Person
Martin A. Genetic / Doyne / David J / Miller / David E. Genetic / Morgan Kaufmann / Geoffrey E. Connectionist / John R. Koza / John R. Genetic / John Holland / Morgan Kaufman / Geoffrey F. Todd / / /
Position
editor / Farmer / feed-forward / /
ProgrammingLanguage
LISP / /
ProvinceOrState
California / /
PublishedMedium
Machine Learning / /
Technology
C. Genetic algorithms / LEARNING CURVE FOR THE ONE BIT ADDER Genetic algorithms / genetic algorithm / machine learning / BACKGROUND ON GENETIC ALGORITHMS Genetic algorithms / conventional genetic algorithm / conventional genetic algorithms / NEURAL NETWORK / artificial intelligence / Hierarchical Genetic Algorithms / using Genetic Algorithms / parallel mathematical algorithms / recombination / /
GENETIC GENERATION OF BOTH THE WEIGHTS AND ARCHITECTURE FOR A NEURAL NETWORK John R. Koza Computer Science Department Stanford University