{"title":"基于Intel 80170NX ETANN的实时神经处理器的设计与开发","authors":"L. R. Kern","doi":"10.1109/IJCNN.1992.226908","DOIUrl":null,"url":null,"abstract":"The Naval Air Warfare Center Weapons Division is designing and developing a real-time neural processor for missile seeker applications. The system uses a high-speed digital computer as the user interface and as a monitor for processing. The use of a standard digital computer as the user interface allows the user to develop the process in whatever programming environment desired. With the capability to store up to 64 k of output data on each frame, it is possible to process two-dimensional image data in excess of video rates. The real-time communication bus, with user-defined interconnect structures, enables the system to solve a wide variety of problems. The system is best suited to perform local area processing on two-dimensional images. Using this system, each layer has the capacity to represent up to 65536 neurons. The fully operational system may contain up to 12 of these layers, giving the total system a capacity in excess of 745000 neurons.<<ETX>>","PeriodicalId":286849,"journal":{"name":"[Proceedings 1992] IJCNN International Joint Conference on Neural Networks","volume":"2 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Design and development of a real-time neural processor using the Intel 80170NX ETANN\",\"authors\":\"L. R. Kern\",\"doi\":\"10.1109/IJCNN.1992.226908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Naval Air Warfare Center Weapons Division is designing and developing a real-time neural processor for missile seeker applications. The system uses a high-speed digital computer as the user interface and as a monitor for processing. The use of a standard digital computer as the user interface allows the user to develop the process in whatever programming environment desired. With the capability to store up to 64 k of output data on each frame, it is possible to process two-dimensional image data in excess of video rates. The real-time communication bus, with user-defined interconnect structures, enables the system to solve a wide variety of problems. The system is best suited to perform local area processing on two-dimensional images. Using this system, each layer has the capacity to represent up to 65536 neurons. The fully operational system may contain up to 12 of these layers, giving the total system a capacity in excess of 745000 neurons.<<ETX>>\",\"PeriodicalId\":286849,\"journal\":{\"name\":\"[Proceedings 1992] IJCNN International Joint Conference on Neural Networks\",\"volume\":\"2 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings 1992] IJCNN International Joint Conference on Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.1992.226908\",\"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 1992] IJCNN International Joint Conference on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.1992.226908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and development of a real-time neural processor using the Intel 80170NX ETANN
The Naval Air Warfare Center Weapons Division is designing and developing a real-time neural processor for missile seeker applications. The system uses a high-speed digital computer as the user interface and as a monitor for processing. The use of a standard digital computer as the user interface allows the user to develop the process in whatever programming environment desired. With the capability to store up to 64 k of output data on each frame, it is possible to process two-dimensional image data in excess of video rates. The real-time communication bus, with user-defined interconnect structures, enables the system to solve a wide variety of problems. The system is best suited to perform local area processing on two-dimensional images. Using this system, each layer has the capacity to represent up to 65536 neurons. The fully operational system may contain up to 12 of these layers, giving the total system a capacity in excess of 745000 neurons.<>