Finite Precision Error Analysis of Neural Network Hardware Implementations (1993)
by
Jordan L. Holt
,
Jenq-neng Hwang
| Venue: | IEEE Trans. on Computers |
| Citations: | 26 - 0 self |
BibTeX
@ARTICLE{Holt93finiteprecision,
author = {Jordan L. Holt and Jenq-neng Hwang},
title = {Finite Precision Error Analysis of Neural Network Hardware Implementations},
journal = {IEEE Trans. on Computers},
year = {1993},
volume = {42},
pages = {281--290}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
this paper, and can be referred to [3]. 11 The operations in the forward retrieving of an L-layer perceptron can be formulated as a forward affine transformation interleaved with a nonlinear scalar activation function: x l+1;j = f(
Citations
| 2304 | Learning Internal Representations by Error Propagation - Rumelhart, Hinton, et al. - 1986 |
| 439 | Beyond Regression: New Tools for Prediction and Analysis - Werbos |
| 51 | A VLSI architecture for high-performance, low-cost, on-chip learning - Hammerstrom - 1990 |
| 20 | Parallel Architectures for Artificial Neural Nets - Kung, Hwang - 1998 |
| 5 | From nonlinear optimization to neural network learning - Hwang, Lewis - 1990 |
| 2 | Implementation Limits for Artificial Neural Networks - Baker - 1990 |
| 2 | Recursive least-squares learning algorithms for neural networks - Lewis, Hwang - 1990 |
| 1 | A unified architecture for artificial neural networks - Kung, Hwang - 1989 |
