连续时间递归神经网络:演化模拟控制器电路的范例

Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093) Pub Date : 2000-10-10 DOI:10.1109/NAECON.2000.894924

J.C. Gallacher, J. Fiore

{"title":"连续时间递归神经网络:演化模拟控制器电路的范例","authors":"J.C. Gallacher, J. Fiore","doi":"10.1109/NAECON.2000.894924","DOIUrl":null,"url":null,"abstract":"This paper argues that Continuous Time Recurrent Neural Networks (CTRNNs) provide a particularly attractive paradigm under which to evolve analog electrical circuits for use as device controllers. It will make these arguments both by appeal to existing literature and by the example of a successful project in the control of an autonomous robot. The paper will conclude with a discussion of future work and goals.","PeriodicalId":171131,"journal":{"name":"Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Continuous time recurrent neural networks: a paradigm for evolvable analog controller circuits\",\"authors\":\"J.C. Gallacher, J. Fiore\",\"doi\":\"10.1109/NAECON.2000.894924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper argues that Continuous Time Recurrent Neural Networks (CTRNNs) provide a particularly attractive paradigm under which to evolve analog electrical circuits for use as device controllers. It will make these arguments both by appeal to existing literature and by the example of a successful project in the control of an autonomous robot. The paper will conclude with a discussion of future work and goals.\",\"PeriodicalId\":171131,\"journal\":{\"name\":\"Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.2000.894924\",\"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 IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2000.894924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 29

摘要

本文认为连续时间递归神经网络(CTRNNs)提供了一个特别有吸引力的范例，在这个范例下，模拟电路可以用作设备控制器。它将通过诉诸现有文献和通过一个成功的自主机器人控制项目的例子来提出这些论点。本文最后将讨论未来的工作和目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Continuous time recurrent neural networks: a paradigm for evolvable analog controller circuits

This paper argues that Continuous Time Recurrent Neural Networks (CTRNNs) provide a particularly attractive paradigm under which to evolve analog electrical circuits for use as device controllers. It will make these arguments both by appeal to existing literature and by the example of a successful project in the control of an autonomous robot. The paper will conclude with a discussion of future work and goals.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)

自引率

0.00%

发文量