| 000 | 03135cam a22004938i 4500 | ||
|---|---|---|---|
| 001 | 9781003494843 | ||
| 003 | FlBoTFG | ||
| 005 | 20251030122254.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 241202s2025 flu ob 001 0 eng | ||
| 040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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| 020 |
_a9781003494843 _q(ebk) |
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| 020 | _a1003494846 | ||
| 020 |
_z9781032782799 _q(hbk) |
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| 020 |
_z9781032799780 _q(pbk) |
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| 020 |
_a9781040256794 _q(electronic bk.) |
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| 020 |
_a1040256791 _q(electronic bk.) |
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| 020 |
_a9781040256831 _q(electronic bk. : EPUB) |
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| 020 |
_a104025683X _q(electronic bk. : EPUB) |
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| 024 | 7 |
_a10.1201/9781003494843 _2doi |
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| 035 | _a(OCoLC)1472071354 | ||
| 035 | _a(OCoLC-P)1472071354 | ||
| 050 | 0 | 0 | _aT57.37 |
| 100 | 1 |
_aSavran, Melih, _eauthor. _995203 |
|
| 245 | 1 | 3 |
_aAn integrated approach to modeling and optimization in engineering and science / _cMelih Savran and Levent Aydin. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aBoca Raton : _bCRC Press, _c2025. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 505 | 0 | _aDesign of experiment, mathematical modeling, and optimization -- Comparison of ANN and neuro regression methods in mathematical modeling -- Evaluation of R2 as model assessment criteria -- Questioning the adequacy of using polynomial structures -- The effect of using the Taguchi method in experimental design on mathematical modeling -- Comparison of different test and validation methods used in mathematical modeling -- Comparison of different model assessment criteria used in mathematical modeling -- Comparison of the effects of experimental design methods on mathematical modeling -- Special functions in mathematical modeling. | |
| 520 |
_a"An Integrated Approach to Modeling and Optimization in Engineering and Science examines the effects of experimental design, mathematical modeling, and optimization processes for solving many different problems. The experimental design method, Central Composite, Full Factorial, Taguchi, Box Behnken, and D Optimal methods are used, and the effects of the data sets obtained by these methods on mathematical modeling are investigated. This book will help graduates and senior undergraduates in courses on experimental design, modeling, optimization, and interdisciplinary engineering studies. It would also be of interest to R and D engineers and professionals working in scientific institutions based on design, modeling, and optimization"-- _cProvided by publisher. |
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| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aExperimental design. _964006 |
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| 650 | 0 |
_aEngineering _xMathematical models. _960401 |
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| 700 | 1 |
_aAydin, Levent, _eauthor. _995204 |
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| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003494843 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 942 | _cE-Books | ||
| 999 |
_c68000 _d68000 |
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