{"title":"基于进化神经网络算法的问题求解","authors":"Peter Kocalka, Vlado Vojtek","doi":"10.1109/ITI.2001.938011","DOIUrl":null,"url":null,"abstract":"It is generally known that neural network algorithms are used for solving certain types of problems. Usually, we have a given problem and we look for the most suitable type of network, which would be able to solve the problem in the most effective way. We tried to suggest a method based on the fact that we will not look for the suitable network but the network will evolve itself.","PeriodicalId":375405,"journal":{"name":"Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001.","volume":"385 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Problem solving based on evolutionary neural network algorithms\",\"authors\":\"Peter Kocalka, Vlado Vojtek\",\"doi\":\"10.1109/ITI.2001.938011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is generally known that neural network algorithms are used for solving certain types of problems. Usually, we have a given problem and we look for the most suitable type of network, which would be able to solve the problem in the most effective way. We tried to suggest a method based on the fact that we will not look for the suitable network but the network will evolve itself.\",\"PeriodicalId\":375405,\"journal\":{\"name\":\"Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001.\",\"volume\":\"385 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITI.2001.938011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITI.2001.938011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Problem solving based on evolutionary neural network algorithms
It is generally known that neural network algorithms are used for solving certain types of problems. Usually, we have a given problem and we look for the most suitable type of network, which would be able to solve the problem in the most effective way. We tried to suggest a method based on the fact that we will not look for the suitable network but the network will evolve itself.
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