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- 000 01473cam a2200301 i 4500
- 008 150812s2015 flua 000 0 eng d
- 040 __ |a YDXCP |b eng |e rda |c YDXCP |d OCLCQ |d BTCTA |d BDX |d OCLCO |d CRCPR |d CDX |d NDD |d OCLCF |d OCLCO |d DLC
- 050 00 |a TA347.A78 |b P37 2015
- 100 1_ |a Pascual, Diego Galar.
- 245 10 |a Artificial intelligence tools : |b decision support systems in condition monitoring and diagnosis / |c Diego Galar Pascual.
- 260 __ |a Boca Raton, Florida : |b CRC Press, |c c2015
- 300 __ |a xxiii, 523 pages : |b illustrations ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 505 0_ |a 1. Massive field data collection : issues and challenges -- 2. Condition monitoring : available techniques -- 3. Challenges of condition monitoring using AI techniques -- 4. Input and output data -- 5. Two-stage response surface approaches to modeling drug interaction -- 6. Nearest neighbor-based techniques -- 7. Cluster-based techniques -- 8. Statistical techniques -- 9. Information theory-based techniques -- 10. Uncertainty management.
- 650 _0 |a Artificial intelligence.
- 650 _0 |a Machinery |x Monitoring.
- 650 _0 |a Decision support systems.
- 650 _0 |a Mechanical engineering |x Data processing.