What are the Learning Rules in Neural Network?

Learning rule or Learning process is a method or a mathematical logic. It improves the Artificial Neural Network's performance and applies this rule over the network. Thus learning rules updates the weights and bias levels of a network when a network simulates in a specific data environment.

Applying learning rule is an iterative process. It helps a…

Applications of SVM in Real World 

SVMs depends on supervised learning algorithms. The aim of using SVM is to correctly classify unseen data. SVMs have a number of applications in several fields.

Some common applications of SVM are-

• Face detection – SVMc classify parts of the image as a face and non-face and create a square boundary around the face.

• Text and hypertext…

Top Neural Network Algorithms

Learning of neural network takes place on the basis of a sample of the population under study. During the course of learning, compare the value delivered by output unit with actual value. After that adjust the weights of all units so to improve the prediction.

There are many Neural Network Algorithms are available for training …

Models of Artificial Neural Networks

There are various Artificial Neural Network Models. Main ones are

• Multilayer Perceptron – It is a feedforward artificial neural network model. It maps sets of input data onto a set of appropriate outputs.
• Radial Basis Function Network – A radial basis function network is an artificial neural network. It uses radial basis functions…