Natural evolution is the process of optimizing the characteristics and architecture of the living beings on earth. Possibly evolving the optimal characteristics and architectures of the living beings are the most complex problems being optimized on earth since the beginning of time. The evolutionary technique though it seems to be very slow is one of the most powerful tools for optimization, especially when all the existing traditional techniques fail. These evolutionary techniques can be used to generate optimal architecture and characteristics of different machine learning techniques.
Mainly the two different types of networks considered in this module are
- artificial neural network and
- polynomial network.
Though lots of research has been conducted on evolution of artificial neural network, research on evolution of polynomial networks is still in its early stage. Hence, evolving these two networks and mining knowledge for classification problem is the
main attracting feature.
These and other related issues, will be discussed in this module.