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- W2762449981 abstract "Neural networks and genetic programming have long since helped humans in diagnoses and treatment of human diseases. However, not much has been done for man’s best friend—the canine’s. This paper thus aims to explore and find the possibility of building software which is based on the use of neural network and Cartesian genetic programming to diagnose the various diseases of canine population. During the study, its outcomes were also compared and contrasted with the results of a neural network combined with simple genetic programming-based system, the results of which confirmed the high success rate of neural network training when it is modified with Cartesian genetic programming for the use of diagnosis of various categories of canine diseases." @default.
- W2762449981 created "2017-10-20" @default.
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- W2762449981 date "2017-10-04" @default.
- W2762449981 modified "2023-09-25" @default.
- W2762449981 title "Medical Diagnosing of Canine Diseases Using Genetic Programming and Neural Networks" @default.
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- W2762449981 doi "https://doi.org/10.1007/978-981-10-6747-1_22" @default.
- W2762449981 hasPublicationYear "2017" @default.
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