{"title":"前馈人工神经网络的数学本质与结构","authors":"Hongxing Li, C. L. P. Chen, Han-Pang Huang","doi":"10.1201/9781420057997.ch3","DOIUrl":null,"url":null,"abstract":"In this chapter, we first introduce the mathematical model and structure of artificial neurons. After that, we consider several artificial neural networks that assemble the neurons. This chapter does not intend to explain details of biological neurons. Instead, we only focus on artificial neurons that simply extract the abstract operation of biological neurons and their mathematical models. We start with an introduction in Section 1, followed by the discussion of neuron models in Section","PeriodicalId":239984,"journal":{"name":"Fuzzy Neural Intelligent Systems","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mathematical Essence and Structures of Feedforward Artificial Neural Networks\",\"authors\":\"Hongxing Li, C. L. P. Chen, Han-Pang Huang\",\"doi\":\"10.1201/9781420057997.ch3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this chapter, we first introduce the mathematical model and structure of artificial neurons. After that, we consider several artificial neural networks that assemble the neurons. This chapter does not intend to explain details of biological neurons. Instead, we only focus on artificial neurons that simply extract the abstract operation of biological neurons and their mathematical models. We start with an introduction in Section 1, followed by the discussion of neuron models in Section\",\"PeriodicalId\":239984,\"journal\":{\"name\":\"Fuzzy Neural Intelligent Systems\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fuzzy Neural Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/9781420057997.ch3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Neural Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781420057997.ch3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mathematical Essence and Structures of Feedforward Artificial Neural Networks
In this chapter, we first introduce the mathematical model and structure of artificial neurons. After that, we consider several artificial neural networks that assemble the neurons. This chapter does not intend to explain details of biological neurons. Instead, we only focus on artificial neurons that simply extract the abstract operation of biological neurons and their mathematical models. We start with an introduction in Section 1, followed by the discussion of neuron models in Section