Genetic Generation of Both the Weights and Architecture for a Neural Network
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Koza91,
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author = "John R. Koza and James P. Rice",
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title = "Genetic Generation of Both the Weights and
Architecture for a Neural Network",
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booktitle = "International Joint Conference on Neural Networks,
IJCNN-91",
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year = "1991",
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volume = "II",
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pages = "397--404",
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address = "Washington State Convention and Trade Center, Seattle,
WA, USA",
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publisher_address = "1109 Spring Street, Suite 300, Silver Spring, MD
20910, USA",
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month = "8-12 " # jul,
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publisher = "IEEE Computer Society Press",
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keywords = "genetic algorithms, genetic programming,
connectionism, one-bit adder, cogann ref, LISP symbolic
expressions, connectivity, layers, neural net
architecture, neural net weights, ANN, one-bit adder,
performance, processing elements, LISP, digital
arithmetic, neural nets",
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ISBN = "0-7803-0164-1",
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LCCN = "QA76.87.I57 1991b",
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bibdate = "Wed Jan 15 14:07:16 1997",
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acknowledgement = ack-nhfb,
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URL = "http://www.genetic-programming.com/jkpdf/ijcnn1991.pdf",
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DOI = "doi:10.1109/IJCNN.1991.155366",
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abstract = "This paper shows how to find both the weights and
architecture for a neural network (including the number
of layers, the number of processing elements per layer,
and the connectivity between processing elements). This
is accomplished using a recently developed extension to
the genetic algorithm which genetically breeds a
population of LISP symbolic expressions (S-expressions)
of varying size and shape until the desired performance
by the network is successfully evolved. The new genetic
programming paradigm is applied to the problem of
generating a neural network for the one-bit adder.",
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notes = "Two volumes. IEEE catalog number:
91CH3049-4.
IJCNN-91",
- }
Genetic Programming entries for
John Koza
James P Rice
Citations