Toplam kayıt 4, listelenen: 1-4
Spline based neural networks
(Işık Üniversitesi, 2005)
In this thesis, we applied the Catmull-Rom splines and B-splines to the neural networks models, which are Multi Layer Perceptrons, Elman Networks, and Locally Recurrent Neural Networks, as adaptive activation functions. ...
Neural network as a forecasting tool for financial decision-making
(Işık Üniversitesi, 2008-09-18)
For the last decade, machine learning techniques have been applied to financial tasks such as portfolio management, risk assessment and stock market prediction. Among these techniques artificial neural network as a machine ...
Cost sensetive learning algorithms
(Işık Üniversitesi, 2008)
This thesis studies the cost sensitive learning algorithms that calculate the class learning algorithms errors and costs. Data mining is the automated extraction of hidden predictive information from databases that can be ...
Neural network based face detection
(Işık Üniversitesi, 2010)
One of the challenging problems in computer vision is face detection. The goal of face detection is to locate all regions that contain a face regardless of any three dimensional transformation and lighting condition. There ...