Comparative Performance of Multiple Linear Regression and Artificial Neural Network Based Models in Estimation of Evaporation
Journal Title: Advances in Research - Year 2017, Vol 11, Issue 5
Abstract
Evaporation is an integral part of water cycle. The measurement of evaporation plays a significant role in water management planning, irrigation requirement and to know the water availability in storage system. Considering the complexity in estimation of evaporation by empirical formulas, this study was undertaken to develop regression and neural network based models for estimation of evaporation from climatic variables. The parameters viz. average temperature (T_(avg )), wind speed (W), average relative humidity (〖Rh〗_avg) and sunshine hours (S) were used as predictors and evaporation was considered as response variable. Mean squared error (MSE) and correlation coefficient (r) were used to judge the performance of developed models. The multiple linear regression (MLR) model exhibited MSE 1.12 and 0.92 whereas with artificial neural network (ANN) model, MSE was found to be 0.56 and 0.68 in training and testing phase, respectively. In training period, correlation coefficient was 0.92 for MLR model as compared to 0.96 with ANN model. The correlation coefficient in testing phase was found to be 0.95 and 0.97 for MLR and ANN model, respectively. The developed ANN model outperformed MLR model in estimation of evaporation from climatic variables.
Authors and Affiliations
Neeraj Kumar, Ganesh Upadhyay, Pankaj Kumar
Keywords
Related Articles
- EP ID EP319319
- DOI 10.9734/AIR/2017/36473
- Views 98
- Downloads 0
Analysis of Carbide Tool Wear of EN38 Steel
This research work analyzed carbide tool wear of the single point cutting tool used in the turning operation of EN38 steel. Sixteen experiments were conducted, to determine how feed rate, depth of cut and spindle speed o...
Evaluation of Existing, Desired Competencies and Skills of Apple Growers in Low and High Altitude Regions of Shopian, Jammu & Kashmir, India
The present study was conducted in low and high altitude areas comprising of villages viz. Keegam, Tikora and Tengwani (low altitude areas) and Imam-Sahab, Hillow and Nagbal (high altitude areas) of district Shopian of J...
The Variations of the Numbers of Species Recorded 1-, 2-, … x-times (Singletons, Doubletons, … x-tons) with Increasing Sampling-size : An Analytical Approach Using Taylor Expansion
The process of species accumulation, during progressive sampling, results in the regular, monotonic increase of the number of recorded species with sampling size. On the contrary, the numbers f1(N), f2(N), f3(N), …, fx(N...
Management of Increasing Soil Pollution in the Ecosystem
The present paper is a mini review of the increasing soil pollution in the environment and the possible handy options available, to curb its rate. Soil being a non-renewable resource, must be protected from all types of...
Amino Acid and Functional Characteristics of Pawpaw (Carica papaya) Seeds under Normal Storage Ripening
The amino acid contents and the functional properties of matured unripe, ripe and overripe pawpaw (Carica papaya) seeds were carried out using standard methods as follow up to a previous paper where some aspects of the c...