International Journal of Academic Information Systems Research (IJAISR)   Year: 2020 | Volume: 4 | Issue: 10 | Page No.: 9-17 Artificial Neural Network for Mushroom Prediction Kamel Jamal Dawood, Mohamed Hussam Zaqout, Riad Mohammed Salem, Samy S. Abu-Naser Abstract: Predication is an application of Artificial Neural Network (ANN). It is a supervised learning due to predefined input and output attributes. Multi-Layer ANN model is used for training, validating, and testing of the dataset. In this paper, Multi-Layer ANN model was used to train and test the mushroom dataset to predict whether mushroom is edible or poisonous. The Mushrooms dataset was prepared for training, 8124 instances were used for the training. JNN tool was used for training and validating the dataset. The most important attributes of the dataset were identified, and the accuracy of the predication of whether Mushroom is edible or Poisonous was 100%.