{"title":"小脑启发的人工神经网络架构","authors":"A. Nurutdinov, R. Latypov","doi":"10.1109/IITCEE57236.2023.10090893","DOIUrl":null,"url":null,"abstract":"This article presents a new neural network architecture based on the histology of the cerebellum. The developed architecture can be used in combination with existing machine-learning methods. The novelty of our approach relies on the natural representation of the cerebellum as an analog computer designed to resolve systems of differential equations. A sample differential equation in a computational simulation is given.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cerebellum-Inspired Artificial Neural Networks Architecture\",\"authors\":\"A. Nurutdinov, R. Latypov\",\"doi\":\"10.1109/IITCEE57236.2023.10090893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a new neural network architecture based on the histology of the cerebellum. The developed architecture can be used in combination with existing machine-learning methods. The novelty of our approach relies on the natural representation of the cerebellum as an analog computer designed to resolve systems of differential equations. A sample differential equation in a computational simulation is given.\",\"PeriodicalId\":124653,\"journal\":{\"name\":\"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IITCEE57236.2023.10090893\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IITCEE57236.2023.10090893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article presents a new neural network architecture based on the histology of the cerebellum. The developed architecture can be used in combination with existing machine-learning methods. The novelty of our approach relies on the natural representation of the cerebellum as an analog computer designed to resolve systems of differential equations. A sample differential equation in a computational simulation is given.