Impact of Activation Functions of Neural Network in Mammographic Masses

Computational intelligence is a well-established paradigm that has been creating new hypotheses based on good biological understanding. Defining computational intelligence is not an easy task because this area belongs to multiple disciplines like Artificial Intelligence, Soft Computing, Machine Intelligence, Machine Learning and many others. Research in this area include the computational techniques like support vector machines, fuzzy logic, neural networks along with a wide range of applications as modelling and pattern recognition. These methods have been applied to solve many complex and diverse problems. To solve the above mentioned complex problems, neural networks are used. The present paper will focus on relevance of neural network in mammographic masses dataset to determine its performance analysis using various activation function while performing the classification task.