Supporting data set for : Artificial Neural Network-based Repair and Maintenance Cost Estimation Model for Rice Combine Harvester

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This data consist of : 1. Accumulative R&M cost vs. harvest area (North region). 2. Accumulative R&M cost vs. harvest area (Northeast region). 3. Accumulative R&M cost vs. harvest area (Central region). 4. Conventional R&M cost equation based on power function-fitted coefficients. 5. ANN target R&M cost data. 6. ANN training data. 7.ANN trained network. (MATLAB model) 8.ANN-based R&M cost estimation model. (MATLAB model) 9.Curve fitting coefficients (power function-fitted) of North region. 10.Curve fitting coefficients (power function-fitted) of Northeast region. 11.Curve fitting coefficients (power function-fitted) of Central region.

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