{"title":"磁体人工神经网络的新实现","authors":"B. Kotur","doi":"10.1109/ICACCCT.2014.7019257","DOIUrl":null,"url":null,"abstract":"The implementation of the artificial neural networks using electromagnets has been discussed in this paper. This novel ANN system comprises of electromagnets as its neurons and the inputs are also applied through magnets and the outputs are read as the magnetic field intensities. It follows all the principles from the traditional artificial neural networks. The added advantage of this implementation is that its magnetic field interactions will yield the outputs instantly without any explicit computations at all unlike in the case of the conventional ANN systems. So, in this respect the proposed system is more efficient against the ANN implementations in practice.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Novel implementation of ANN using magnets\",\"authors\":\"B. Kotur\",\"doi\":\"10.1109/ICACCCT.2014.7019257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The implementation of the artificial neural networks using electromagnets has been discussed in this paper. This novel ANN system comprises of electromagnets as its neurons and the inputs are also applied through magnets and the outputs are read as the magnetic field intensities. It follows all the principles from the traditional artificial neural networks. The added advantage of this implementation is that its magnetic field interactions will yield the outputs instantly without any explicit computations at all unlike in the case of the conventional ANN systems. So, in this respect the proposed system is more efficient against the ANN implementations in practice.\",\"PeriodicalId\":239918,\"journal\":{\"name\":\"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies\",\"volume\":\"190 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACCCT.2014.7019257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCCT.2014.7019257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The implementation of the artificial neural networks using electromagnets has been discussed in this paper. This novel ANN system comprises of electromagnets as its neurons and the inputs are also applied through magnets and the outputs are read as the magnetic field intensities. It follows all the principles from the traditional artificial neural networks. The added advantage of this implementation is that its magnetic field interactions will yield the outputs instantly without any explicit computations at all unlike in the case of the conventional ANN systems. So, in this respect the proposed system is more efficient against the ANN implementations in practice.