000 | 02822nam a22004935i 4500 | ||
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001 | 978-3-319-26293-2 | ||
003 | DE-He213 | ||
005 | 20200421111652.0 | ||
007 | cr nn 008mamaa | ||
008 | 151122s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319262932 _9978-3-319-26293-2 |
||
024 | 7 |
_a10.1007/978-3-319-26293-2 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aSingh, Pritpal. _eauthor. |
|
245 | 1 | 0 |
_aApplications of Soft Computing in Time Series Forecasting _h[electronic resource] : _bSimulation and Modeling Techniques / _cby Pritpal Singh. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aXXI, 158 p. 24 illus., 14 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v330 |
|
520 | _aThis book reports on an in-depth study of fuzzy time series (FTS) modeling. It reviews and summarizes previous research work in FTS modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and evolutionary computing (EC), focusing on how these techniques can be integrated into different phases of the FTS modeling approach. In particular, the book describes novel methods resulting from the hybridization of FTS modeling approaches with neural networks and particle swarm optimization. It also demonstrates how a new ANN-based model can be successfully applied in the context of predicting Indian summer monsoon rainfall. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to fuzzy time series modeling, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government organizations. . | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer simulation. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aApplications of Nonlinear Dynamics and Chaos Theory. |
650 | 2 | 4 | _aSimulation and Modeling. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319262925 |
830 | 0 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v330 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-26293-2 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c54488 _d54488 |