Verwandte Artikel zu Soft Computing Techniques to Predict the Future of...
Inhaltsangabe
India, which has the most agricultural tillage area in the world, is one of the massive cultivators of crops. Besides, rice and wheat is the main staple food of many Indians. The main purpose of this study is to develop a predictive model on Indian agriculture production. Here, we have used different types of soft computing models like Fuzzy Logic, Statistical Equations, Artificial Neural Network (ANN) and Genetic Algorithm (GA) and tried to develop a hybrid model to get the optimum result. The vital aspect of this proposed prediction model is to achieve improved accuracy. The Prediction performance has been assessed by using error finding equations like Mean Squared Error (MSE), Root Mean Square Error (RMSE) and Average Error.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 39,90
EUR 23,00 für den Versand von Deutschland nach USA
Versandziele, Kosten & DauerSuchergebnisse für Soft Computing Techniques to Predict the Future of...
Foto des Verkäufers
Soft Computing Techniques to Predict the Future of Indian Agriculture
Verlag:
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6200463344
ISBN 13: 9786200463340
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -India, which has the most agricultural tillage area in the world, is one of the massive cultivators of crops. Besides, rice and wheat is the main staple food of many Indians. The main purpose of this study is to develop a predictive model on Indian agriculture production. Here, we have used different types of soft computing models like Fuzzy Logic, Statistical Equations, Artificial Neural Network (ANN) and Genetic Algorithm (GA) and tried to develop a hybrid model to get the optimum result. The vital aspect of this proposed prediction model is to achieve improved accuracy. The Prediction performance has been assessed by using error finding equations like Mean Squared Error (MSE), Root Mean Square Error (RMSE) and Average Error. 60 pp. Englisch. Bestandsnummer des Verkäufers 9786200463340
Anzahl: 2 verfügbar
Foto des Verkäufers
Soft Computing Techniques to Predict the Future of Indian Agriculture
Verlag:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200463344
ISBN 13: 9786200463340
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar SurjeetB.Tech (Computer Science), M.Tech(Computer Science), Pursuing Ph.D,University of KalyaniWest Bengal, IndiaIndia, which has the most agricultural tillage area in the world, is one of the massive cultivators of crops. . Bestandsnummer des Verkäufers 497402146
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Soft Computing Techniques to Predict the Future of Indian Agriculture
Verlag:
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6200463344
ISBN 13: 9786200463340
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -India, which has the most agricultural tillage area in the world, is one of the massive cultivators of crops. Besides, rice and wheat is the main staple food of many Indians. The main purpose of this study is to develop a predictive model on Indian agriculture production. Here, we have used different types of soft computing models like Fuzzy Logic, Statistical Equations, Artificial Neural Network (ANN) and Genetic Algorithm (GA) and tried to develop a hybrid model to get the optimum result. The vital aspect of this proposed prediction model is to achieve improved accuracy. The Prediction performance has been assessed by using error finding equations like Mean Squared Error (MSE), Root Mean Square Error (RMSE) and Average Error.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. Bestandsnummer des Verkäufers 9786200463340
Anzahl: 2 verfügbar
Foto des Verkäufers
Soft Computing Techniques to Predict the Future of Indian Agriculture : MATLAB Coding
Verlag:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200463344
ISBN 13: 9786200463340
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - India, which has the most agricultural tillage area in the world, is one of the massive cultivators of crops. Besides, rice and wheat is the main staple food of many Indians. The main purpose of this study is to develop a predictive model on Indian agriculture production. Here, we have used different types of soft computing models like Fuzzy Logic, Statistical Equations, Artificial Neural Network (ANN) and Genetic Algorithm (GA) and tried to develop a hybrid model to get the optimum result. The vital aspect of this proposed prediction model is to achieve improved accuracy. The Prediction performance has been assessed by using error finding equations like Mean Squared Error (MSE), Root Mean Square Error (RMSE) and Average Error. Bestandsnummer des Verkäufers 9786200463340
Anzahl: 1 verfügbar