Weather Prediction Using Error Minimization Algorithm on Feedforward Artificial Neural Network

Precise weather forecast is very important today, as day-today life is widely dependent on weather. The paper focuses on precise weather outlook using feedforward neural network (FFNN) and provides learning to the network using error correction method. This paper explores the idea of creating network by taking appropriate neurons in the hidden layer so as to obtain the best result. FFNN is frequently used to solve many problems from various disciplines such as image recognition, clustering, function approximation, biological application, and forecast/prediction.