Items related to Soft Computing Techniques to Predict the Future of...
Synopsis
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.
"synopsis" may belong to another edition of this title.
- PublisherLAP Lambert Academic Publishing
- Publication date2019
- ISBN 10 6200463344
- ISBN 13 9786200463340
- BindingPaperback
- LanguageEnglish
- Number of pages60
Buy New
View this item
£ 35
£ 9.37 shipping from Germany to United Kingdom
Destination, rates & speedsSearch results for Soft Computing Techniques to Predict the Future of...
Seller Image
Soft Computing Techniques to Predict the Future of Indian Agriculture
Published by
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6200463344
ISBN 13: 9786200463340
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786200463340
Quantity: 2 available
Seller Image
Soft Computing Techniques to Predict the Future of Indian Agriculture : MATLAB Coding
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200463344
ISBN 13: 9786200463340
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786200463340
Quantity: 1 available
Seller Image
Soft Computing Techniques to Predict the Future of Indian Agriculture
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200463344
ISBN 13: 9786200463340
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. . Seller Inventory # 497402146
Quantity: Over 20 available
Seller Image
Soft Computing Techniques to Predict the Future of Indian Agriculture
Published by
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6200463344
ISBN 13: 9786200463340
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786200463340
Quantity: 2 available