Kalman Filtering and Neural Networks P2

Chia sẻ: Khinh Kha Kha | Ngày: | Loại File: PDF | Số trang:45

lượt xem

Kalman Filtering and Neural Networks P2

Mô tả tài liệu
  Download Vui lòng tải xuống để xem tài liệu đầy đủ

PARAMETER-BASED KALMAN FILTER TRAINING: THEORY AND IMPLEMENTATION Gintaras V. Puskorius and Lee A. Feldkamp Ford Research Laboratory, Ford Motor Company, Dearborn, Michigan, U.S.A. (gpuskori@ford.com, lfeldkam@ford.com) 2.1 INTRODUCTION Although the rediscovery in the mid 1980s of the backpropagation algorithm by Rumelhart, Hinton, and Williams [1] has long been viewed as a landmark event in the history of neural network computing and has led to a sustained resurgence of activity, the relative ineffectiveness of this simple gradient method has motivated many researchers to develop enhanced training procedures. In fact, the neural network literature has been inundated with papers proposing alternative training Kalman Filtering and Neural Networks,...

Chủ đề:

Nội dung Text: Kalman Filtering and Neural Networks P2

Đồng bộ tài khoản