Temporal Weather Prediction using Genetic Algorithm: Utilizing the techniques of Back Propagation Algorithms - Brossura
Sinossi
Prediction is a phenomenon of knowing what may happen to a system in the next coming time periods. Weather is a time series based, continuous, data-intensive, dynamic, and chaotic process.Due to dependence of weather on time series based data and non-linearity in climatic physics neural networks are suitable to predict meteorological processes. In the present research, firstly weather related data have been collected, weather parameters have been selected, N-Sliding window technique is applied, relations between dependent parameters are found and data has been normalized to feed to the network as input. After the per-processing of data, suitable neural network architecture has been determined and then the network has been trained by feeding the input as well as output data set under supervised training. Afterwards, testing of the networks has been done for different input sets to check how accurately the network has been trained. Finally, a comparison between the existing and proposed time series based technique has been done. The proposed hybrid technique can learn efficiently by combining the strengths of genetic algorithm with back propagation algorithm.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Er. Pankaj Bhambri completed his M.Tech. (CSE) from Guru Nanak Dev Engineering College, Ludhiana after completing B.E. (IT) with HONORS from Dr. B.R.Ambedkar University, Agra. He has about 10 years of teaching experience. He has contributed in the areas of bioinformatics, image processing and parallel computing through books & research papers.
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Temporal Weather Prediction using Genetic Algorithm
Editore:
LAP LAMBERT Academic Publishing Jun 2013, 2013
ISBN 10: 3659401234
ISBN 13: 9783659401237
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Prediction is a phenomenon of knowing what may happen to a system in the next coming time periods. Weather is a time series based, continuous, data-intensive, dynamic, and chaotic process.Due to dependence of weather on time series based data and non-linearity in climatic physics neural networks are suitable to predict meteorological processes. In the present research, firstly weather related data have been collected, weather parameters have been selected, N-Sliding window technique is applied, relations between dependent parameters are found and data has been normalized to feed to the network as input. After the per-processing of data, suitable neural network architecture has been determined and then the network has been trained by feeding the input as well as output data set under supervised training. Afterwards, testing of the networks has been done for different input sets to check how accurately the network has been trained. Finally, a comparison between the existing and proposed time series based technique has been done. The proposed hybrid technique can learn efficiently by combining the strengths of genetic algorithm with back propagation algorithm. 64 pp. Englisch. Codice articolo 9783659401237
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Temporal Weather Prediction Using Genetic Algorithm
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Temporal Weather Prediction Using Genetic Algorithm
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Temporal Weather Prediction Using Genetic Algorithm
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ISBN 10: 3659401234
ISBN 13: 9783659401237
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Temporal Weather Prediction using Genetic Algorithm
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LAP LAMBERT Academic Publishing Jun 2013, 2013
ISBN 10: 3659401234
ISBN 13: 9783659401237
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Prediction is a phenomenon of knowing what may happen to a system in the next coming time periods. Weather is a time series based, continuous, data-intensive, dynamic, and chaotic process.Due to dependence of weather on time series based data and non-linearity in climatic physics neural networks are suitable to predict meteorological processes. In the present research, firstly weather related data have been collected, weather parameters have been selected, N-Sliding window technique is applied, relations between dependent parameters are found and data has been normalized to feed to the network as input. After the per-processing of data, suitable neural network architecture has been determined and then the network has been trained by feeding the input as well as output data set under supervised training. Afterwards, testing of the networks has been done for different input sets to check how accurately the network has been trained. Finally, a comparison between the existing and proposed time series based technique has been done. The proposed hybrid technique can learn efficiently by combining the strengths of genetic algorithm with back propagation algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Codice articolo 9783659401237
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Temporal Weather Prediction using Genetic Algorithm : Utilizing the techniques of Back Propagation Algorithms
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659401234
ISBN 13: 9783659401237
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Prediction is a phenomenon of knowing what may happen to a system in the next coming time periods. Weather is a time series based, continuous, data-intensive, dynamic, and chaotic process.Due to dependence of weather on time series based data and non-linearity in climatic physics neural networks are suitable to predict meteorological processes. In the present research, firstly weather related data have been collected, weather parameters have been selected, N-Sliding window technique is applied, relations between dependent parameters are found and data has been normalized to feed to the network as input. After the per-processing of data, suitable neural network architecture has been determined and then the network has been trained by feeding the input as well as output data set under supervised training. Afterwards, testing of the networks has been done for different input sets to check how accurately the network has been trained. Finally, a comparison between the existing and proposed time series based technique has been done. The proposed hybrid technique can learn efficiently by combining the strengths of genetic algorithm with back propagation algorithm. Codice articolo 9783659401237
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Temporal Weather Prediction using Genetic Algorithm | Utilizing the techniques of Back Propagation Algorithms
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LAP LAMBERT Academic Publishing, 2013
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ISBN 13: 9783659401237
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Taschenbuch. Condizione: Neu. Temporal Weather Prediction using Genetic Algorithm | Utilizing the techniques of Back Propagation Algorithms | Pankaj Bhambri (u. a.) | Taschenbuch | 64 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659401237 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 105595517
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Temporal Weather Prediction using Genetic Algorithm: Utilizing the techniques of Back Propagation Algorithms
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659401234
ISBN 13: 9783659401237
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82936594012346
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