Neural Network and Fuzzy Time Series
Forecasting using neural network and fuzzy time series
This work deals with neural networks (NN), specifically with multi-layered NN from the algorithm learning point of view. We will describe feed forward neural network (FFNN), recurrent neural network (RCNN) and introduce basic facts about NN, which will be used later in dissertation. A neural network is a mathematical model that is inspired by biological neural networks and tries to simulate them. It consists of interconnected units - neurons, which are the computation units of a neural network. NNs are part of Artificial Intelligence. The knowledge is stored in connections between neurons which are called synaptic weights (weights), simplific…
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Produktdetails
Weitere Autoren: Kumar, Vinod
- ISBN: 978-620-0-28499-0
- EAN: 9786200284990
- Produktnummer: 37301814
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 88 S.
- Masse: H22.0 cm x B15.0 cm x D0.5 cm 149 g
- Abbildungen: Paperback
- Gewicht: 149
Über den Autor
Swati Sharma, B.Tech(Honrs.), M.Tech(Honrs.), Ph.D pursuing from Computer Science and Engineering. I am working as a Assistant Professor in MIET,Meerut. Vinod Kumar, B.Tech, M.Tech, Ph.D pursuing from Computer Science and Engineering. I am working as a Assistant Professor in MIET, Meerut.
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