Browsing by Advisor "Keerthi, S Sathiya"
Now showing items 1-4 of 4
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Application of trust region on methods to learning in feed forward neural networks
This thesis presents a novel algorithm for training feed-forward neural networks, addressing the limitations of the widely used back-propagation and Quickprop algorithms. While Quickprop is significantly faster than standard ... -
Fault tolerance in feedforward neural networks using minimax optimization
Neural computing is currently being proposed as a viable solution to several problems. The approach of neural computing is to capture the guiding principles that underlie the functioning of the human brain and apply them ... -
Some efficient algorithms for support vector mechines
This thesis proposes some efficient algorithms for training Support Vector Machines (SVMs) for large-scale datasets with emphasis on the regression problem. Training a support vector machine leads to solving a convex ...