Applying an artificial neurological network algorithm to a Web-based system, this study hopes to discover neural diseases. Critical to this study is identifying neurological states based on symptom data and analyzing them with an artificial neural network algorithm. The artificial brain network method is implemented; the artificial neural network algorithm is utilized to conduct an analysis that begins with the gathering of data in the form of symptoms and kinds of neural illnesses. The results of this study are based on an analysis of the identification system for neural disorders using an artificial neural network algorithm with an accuracy of 92%.
CITATION STYLE
Rismayani, Rachman, S. R. D., Wahyuni, S., Asmanurhidayani, Mambu, J. Y., & Pineng, M. (2023). Implementation Artificial Neural Network on Identification System of Neurological Disorder. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 171, pp. 619–629). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1767-9_45
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