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S. Mandal and S. Biswas
Fig. 5 Thiessen polygons of the present area of study
Preparation of Rainfall Distribution Map
In the present study, seventeen stations, which are located in and around the catchment area, are selected. The rainfall distribution map is prepared using the Thiessen
polygon method, which is shown in Fig. 5.
3.2.2 Artificial Neural Network Method
Different distributed mathematical models, combined with a class of functions, are
known as ANN models. Deep learning and machine learning methods are the other
two parts of Artificial Intelligence (AI). As information in the human brain transferred through neurons from one region to another region, in AI, raw and processed
information are transferred into the networks through linear and nonlinear mathematical functions called neurons, conceptually the same as neurons in the human
brain. Different patterns, the orientation of information flow structures, and specific
uses type make the ANN models unique within them.
Feed-Forward Back Propagation (FFBP) Network
This model is a well-known artificial neural network model where processed information is getting feed in the forward direction, shown in Fig. 6. In this case, the back
S. Mandal and S. Biswas
Fig. 5 Thiessen polygons of the present area of study
Preparation of Rainfall Distribution Map
In the present study, seventeen stations, which are located in and around the catchment area, are selected. The rainfall distribution map is prepared using the Thiessen
polygon method, which is shown in Fig. 5.
3.2.2 Artificial Neural Network Method
Different distributed mathematical models, combined with a class of functions, are
known as ANN models. Deep learning and machine learning methods are the other
two parts of Artificial Intelligence (AI). As information in the human brain transferred through neurons from one region to another region, in AI, raw and processed
information are transferred into the networks through linear and nonlinear mathematical functions called neurons, conceptually the same as neurons in the human
brain. Different patterns, the orientation of information flow structures, and specific
uses type make the ANN models unique within them.
Feed-Forward Back Propagation (FFBP) Network
This model is a well-known artificial neural network model where processed information is getting feed in the forward direction, shown in Fig. 6. In this case, the back