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Vol.5 , No. 1, Publication Date: Apr. 10, 2018, Page: 15-19
| [1] | Poli Venkata Subba Reddy, Department of Computer Science and Engineering, Sri Venkateswara University, College of Engineering, Tirupati, India; Department of Ophthalmology, Sri Venkateswara Medical College, Tirupati, India. |
Learning methods play major role in AI problem solving. Deep Learning techniques need to be studied for incomplete problems particularly for medical expert systems. Usually incomplete information is fuzzy rather than likelihood. Learning methods are necessary to solve expert problems. Learning fuzzy conditional inference with individual methods using fuzzy logic, Genetic algorithms, Petri net, neural net and not sufficient for large problems. In this paper FuzzProePeNuNet method is studded by combining fuzzy logic, Neural nets, Petri nets, Genetic algorithms and Protein knowledge base for large problems of Fuzzy Expert Systems. The fuzzy medical diagnose is given an example.
Keywords
Medical Diagnosis, Deep Learning, Knowledge Representation, Fuzzy Logic, Protien Databases, Genetic Algorithms, Petri Nets, Neural Networks
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