000 02822nam a22004935i 4500
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
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
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