IC Engine Misfire Detection Algorithm Generation Using Genetic Programming   [GP]

by

Hampo, R., J., Bryant, B., D. and Marko, K., A.

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Info: EUFIT'94 (Conference proceedings), 1994, p. 1674-1678
Keywords:genetic algorithms, genetic programming
Notes:
Presents 2 GPs and a Neural Net detecting engine missfires from test data. Both GPs better than NN. Not clear what distinction is between two GPs. Uses existing, processed input signals from engine. Says GP easier to implement in existing vehical computer. Author's address: Ford Motor Company Scientific Research Laboratory, PO BOX 2053, 20000 Rotunda Drive, MD 2036, Dearborn, Michigan 48121-2053, USA
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BibTex:
@InProceedings{Hampo:1994:ICemdagGP,
  author =       "Richard J. Hampo and Bruce D. Bryant and Kenneth A.
                 Marko",
  title =        "{IC} Engine Misfire Detection Algorithm Generation
                 Using Genetic Programming",
  booktitle =    "EUFIT'94",
  year =         "1994",
  pages =        "1674--1678",
  address =      "Promenade 9, D-52076, Aachen, Germany",
  month =        "20--23 " # sep,
  publisher =    "ELITE-Foundation",
  keywords =     "genetic algorithms, genetic programming",
  size =         "5 pages",
  URL =          "ftp://ftp.mad-scientist.com/pub/genetic-programming/papers/misfire-detection.PS.Z",
  notes =        "

                 Presents 2 GPs and a Neural Net detecting engine
                 missfires from test data. Both GPs better than NN. Not
                 clear what distinction is between two GPs. Uses
                 existing, processed input signals from engine. Says GP
                 easier to implement in existing vehical
                 computer.

                 Author's address: Ford Motor Company Scientific
                 Research Laboratory, PO BOX 2053, 20000 Rotunda Drive,
                 MD 2036, Dearborn, Michigan 48121-2053, USA",
}