| 000 | 03218nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-981-13-7430-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125005.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 190430s2019 si | s |||| 0|eng d | ||
| 020 |
_a9789811374302 _9978-981-13-7430-2 |
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| 024 | 7 |
_a10.1007/978-981-13-7430-2 _2doi |
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| 050 | 4 | _aTK7885-7895 | |
| 050 | 4 | _aTK5105.5-5105.9 | |
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_a621.39 _223 |
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_a004.6 _223 |
| 100 | 1 |
_aChakraverty, Snehashish. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aConcepts of Soft Computing _h[electronic resource] : _bFuzzy and ANN with Programming / _cby Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato. |
| 250 | _a1st ed. 2019. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2019. |
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| 300 |
_aXXII, 195 p. 222 illus., 38 illus. in color. _bonline resource. |
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| 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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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aSoft Computing -- Intervals -- Fuzzy Sets -- Fuzzy Numbers -- Fuzzy Relations -- Fuzzy Functions -- Fuzzy differentiation and integration -- Defuzzification -- Interval system of linear equations -- Interval eigenvalue problems. | |
| 520 | _aThis book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases. | ||
| 650 | 0 | _aComputer engineering. | |
| 650 | 0 | _aComputer networks . | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aComputer Engineering and Networks. |
| 650 | 2 | 4 | _aArtificial Intelligence. |
| 700 | 1 |
_aSahoo, Deepti Moyi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 700 | 1 |
_aMahato, Nisha Rani. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811374296 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811374319 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811374326 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-13-7430-2 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c172988 _d172988 |
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