Response Surface Methodology in Engineering Science.
This book presents modern applications of Response Surface Methodology (RSM) in engineering science. Chapters discuss such topics as machine learning models of RSM as well as potential applications of RSM in industries such as pharmaceuticals, agriculture, textiles, and food, among others.
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| TeilnehmendeR: | |
| Place / Publishing House: | London : : IntechOpen,, 2021. ©2021. |
| Year of Publication: | 2021 |
| Edition: | 1st ed. |
| Language: | English |
| Physical Description: | 1 online resource (274 pages) |
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| 100 | 1 | |a Kayaroganam, Palanikumar. | |
| 245 | 1 | 0 | |a Response Surface Methodology in Engineering Science. |
| 250 | |a 1st ed. | ||
| 264 | 1 | |a London : |b IntechOpen, |c 2021. | |
| 264 | 4 | |c ©2021. | |
| 300 | |a 1 online resource (274 pages) | ||
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| 588 | |a Description based on publisher supplied metadata and other sources. | ||
| 520 | |a This book presents modern applications of Response Surface Methodology (RSM) in engineering science. Chapters discuss such topics as machine learning models of RSM as well as potential applications of RSM in industries such as pharmaceuticals, agriculture, textiles, and food, among others. | ||
| 650 | 0 | |a Response surfaces (Statistics) | |
| 776 | |z 1-83968-919-6 | ||
| 700 | 1 | |a Palanikumar, Kayaroganam, |e editor. | |
| 906 | |a BOOK | ||
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