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Soft Computing Techniques to Predict the Future of Indian Agriculture. MATLAB Coding
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| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
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версия
Автор: Surjeet Kumar and Manas Kumar Sanyal
ISBN: 9786200463340
Год издания: 2019
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 60
Издательство: LAP LAMBERT Academic Publishing
Цена: 23208 тг
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Отрасли экономики:Код товара: 506184
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Аннотация: 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.
Ключевые слова: Fuzzy logic, Statistical Equations, artificial neural network, genetic algorithm, Error Calculation technique
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