An Enhanced Probabilistic Neural Network For Pattern Classification


Chang, Roy Kwang Yang (2010) An Enhanced Probabilistic Neural Network For Pattern Classification. Masters thesis, Multimedia University.

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Pattern classifiers can be applied in a myriad of fields, ranging from machine condition monitoring to weather prediction. A pattern classifier that performs in a non stochastic manner, able to handle missing features and can manage high dimensionality, very much sought after. This is the motivation for this research and our proposed model was designed with those traits in mind.

Item Type: Thesis (Masters)
Additional Information: Call No.: QA 76.87 .R69 2010
Uncontrolled Keywords: Neural networks (Computer science), Artificial intelligence, Biologically-inspired computing
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 09 Apr 2012 04:13
Last Modified: 28 Jul 2023 04:12


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