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@article{147611,
        author = {SHAH SHUBHAM NILESHBHAI and Prof. Megha B. Bhatt and Prof. Kinnari R. Mishra },
        title = {GROUNDWATER LEVEL STUDY USING ANN FOR GANDHINAGAR DISTRICT},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {9},
        pages = {208-210},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147611},
        abstract = {Groundwater is the major source of fresh water on earth. The study of groundwater level gives information about the groundwater availability, groundwater flow, and the physical characteristics of an aquifer. Groundwater systems are very complex in nature. If the main aim of the study is to get accurate predictions rather than understanding the actual physics of the system, Artificial Neural Network (ANN) proves to be a good alternative method. In this research, Artificial Neural Network is used to predict groundwater level in Gandhinagar district. Model considers precipitation, maximum and minimum temperature, humidity, and Evaporation data as input parameter and groundwater levels as an output parameter.},
        keywords = {Rainfall, Maximum and minimum temperature, Humidity, Evaporation, MATLAB and M.S. EXCEL.},
        month = {},
        }