| Type of Material: | Thesis |
| Title: | Initializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis |
| Researcher: | Latha Parthiban |
| Guide: | Subramanian, R |
| Department: | Department of Computer Science |
| Publisher: | Pondicherry University |
| Place: | Pondicherry |
| Year: | February 2010 |
| Language: | English |
| Subject: | Neuro-fuzzy networks | Computer aided medical diagnosis | Artificial neural networks |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
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| 001 | 261872 | |
| 003 | IN-AhILN | |
| 005 | 2013-12-05 06:36:44 | |
| 008 | __ | 121218t2010||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_261872 |
| 040 | __ | |aPNDI_605104|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aLatha Parthiban|eResearcher |
| 110 | __ | |aDepartment of Computer Science|bPondicherry University|dPondicherry |
| 245 | __ | |aInitializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis |
| 260 | __ | |aPondicherry|bPondicherry University|cFebruary 2010 |
| 502 | __ | |bPhD |
| 518 | __ | |oDate of Notification|d2010-02 |
| 520 | __ | |aThis thesis identifies some of the features and major limitations of current Artificial Neural Network (ANN) architectures and learning laws and explore an efficient method of classification using Coactive Neuro-Fuzzy Inference System (CANFIS) with gene |
| 653 | __ | |aNeuro-fuzzy networks |
| 653 | __ | |aComputer aided medical diagnosis |
| 653 | __ | |aArtificial neural networks |
| 700 | __ | |aSubramanian, R|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/5550|yShodhganga |
| 905 | __ | |anotification |
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