Artificial neural networks play an important role in predicting the future. What is the role of the learning rate and the Momentum term in learning the neural network?
An Artificial neural networks ANN has several advantages but one of the most recognized of these is the fact that it can actually learn from observing data sets. In this way, ANN is used as a random function approximation tool. These types of tools help estimate the most cost-effective and ideal methods for arriving at solutions while defining computing functions or distributions.
artificial neural network (ANN) with a single layer of hidden neurons and a single output neuron is presented.
Learning rate controls the speed by which weights are being trained. More is the learning rate value faster is the learning but the system may become unstable (that is, weights may approach to large value). On the other hand if its value is chosen very small then stability of system is guaranteed but the speed of learning will be very slow. Including the momentum term increase the speed of learning with small learning rate.
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