Publication Details
Title: How Receptive Field Parameters Affect Neural Learning
Author: S. M. Omohundro and B. W. Mel
Group: ICSI Technical Reports
Date: January 1991
PDF: ftp://ftp.icsi.berkeley.edu/pub/techreports/1991/tr-91-010.pdf
Overview:
We identify the three principle factors affecting the performance of learning by networks with localized units: unit noise, sample density, and the structure of the target function. We then analyze the effect of unit receptive field parameters on these factors and use this analysis to propose a new learning algorithm which dynamically alters receptive field properties during learning.
Bibliographic Information:
ICSI Technical Report TR-91-010
Bibliographic Reference:
S. M. Omohundro and B. W. Mel. How Receptive Field Parameters Affect Neural Learning. ICSI Technical Report TR-91-010, January 1991
Author: S. M. Omohundro and B. W. Mel
Group: ICSI Technical Reports
Date: January 1991
PDF: ftp://ftp.icsi.berkeley.edu/pub/techreports/1991/tr-91-010.pdf
Overview:
We identify the three principle factors affecting the performance of learning by networks with localized units: unit noise, sample density, and the structure of the target function. We then analyze the effect of unit receptive field parameters on these factors and use this analysis to propose a new learning algorithm which dynamically alters receptive field properties during learning.
Bibliographic Information:
ICSI Technical Report TR-91-010
Bibliographic Reference:
S. M. Omohundro and B. W. Mel. How Receptive Field Parameters Affect Neural Learning. ICSI Technical Report TR-91-010, January 1991