У нас вы можете посмотреть бесплатно Expert System Applications - Lecture #02 | Stanford CS408 (Spring 1988) или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Stanford University Computer Science 408 (CS408) Expert System Applications Professor Edward A. Feigenbaum, Ph.D. Spring 1988 Lecture #02 (1988-03-31) NOTE: Lecture begins at the 2:57 mark. Courtesy of Stanford University Libraries, Department of Special Collections and University Archives, Edward Feigenbaum papers. Source: https://purl.stanford.edu/wz740sh5340 Expert Systems are the most important of the applications of Artificial Intelligence in the commercial and defense sectors. Topics: the rapid transition of the Expert System technology from laboratories to societal use; what is in an Expert System; what is Knowledge Engineering. Case studies of commercial application in: diagnosis and repair; interpretation of data; manufacturing planning and control; financial services; engineering design, etc. The sources of benefit from Expert Systems are the magnitude of these benefits; and what an organization needs to do to realize the benefits. This is a "what" rather than a "how to build systems" orientation, oriented toward an interdisciplinary audience. Copyright Disclaimer: This video is being posted under fair-use conditions for free educational, research, and teaching purposes. Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, commenting, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. All rights and credit go directly to its rightful owners. No copyright infringement is intended. All rights reserved to Stanford University Archives.