| Type of Material: | Thesis |
| Title: | A STUDY ON BACKPROPAGATION NEURAL NET AND FUZZY INFERENCE SYSTEM BASED MEDICAL DIAGNOSIS AND PERFORMANCE PREDICTION |
| Researcher: | A. ANTHONISAN |
| Guide: | S. LOURDU MARIAN |
| Department: | Department of Computer Application |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2013 |
| Language: | English |
| Subject: | Fuzzy Logic | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Application, Bharath University, Chennai, Chennai; 2013; D06CA014 |
| Fulltext: | Shodhganga |
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| 008 | __ | 240913t2013||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454558 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aA. ANTHONISAN|eResearcher |
| 110 | __ | |aDepartment of Computer Application|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aA STUDY ON BACKPROPAGATION NEURAL NET AND FUZZY INFERENCE SYSTEM BASED MEDICAL DIAGNOSIS AND PERFORMANCE PREDICTION |
| 260 | __ | |aChennai|bBharath University, Chennai|c2013 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Computer Application, Bharath University, Chennai, Chennai|d2013|oD06CA014 |
| 518 | __ | |oDate of Registration|d2005-01-11 |
| 520 | __ | |aRecent advances in the field of intelligent systems equipped with Artificial Intelligence techniques called Soft Computing (SC) paved the way to solve complex problems in human like fashion. SC enables to build flexible information processing system capable of handling real life ambiguous situations, and especially in medical diagnosis. It aimed to exploit the tolerance for imprecision, uncertainty, approximate reasoning and partial truth in order to achieve effective treatment. Their potential to exploit meaningful relationship set in a data set can be used to diagnosis, treatment and predication of the outcome in many clinical scenarios. Among the large number of computational techniques used, SC which incorporates Neural Networks, evolutionary computing, Fuzzy Logic and Genetic Algorithms provides unmatched utility because of its demonstrated strength in handling imprecise information and providing novel solutions to complex problems. The survey made by Indian Union Health Ministry, reveals that nearly 6 |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aFuzzy Logic |
| 700 | __ | |aS. LOURDU MARIAN|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/170907|yShodhganga |
| 905 | __ | |afromsg |
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