ARTIFICIAL NEURAL NETWORKS AS MEASURING DEVICES

被引:11
作者
EIDE, A [1 ]
LINDBLAD, T [1 ]
机构
[1] MANNE SIEGBAHN INST PHYS,STOCKHOLM,SWEDEN
关键词
D O I
10.1016/0168-9002(92)91009-X
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A neural network, yielding full control of the results of the uncertainties in the data set, is developed. The network may be used as a tool in order to calculate physical parameters, as well as a "traditional" neural network for pattern recognition.
引用
收藏
页码:607 / 608
页数:2
相关论文
共 4 条
[1]   PARTICLE IDENTIFICATION BY CHERENKOV RING IMAGING USING A NEURAL NETWORK APPROACH [J].
FRANCKE, T ;
LINDBLAD, T ;
EIDE, A ;
PIUZ, F ;
WILLIAMS, D ;
MARTINENGO, P ;
RIBEIRO, R ;
SUFFERT, M .
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1991, 307 (01) :47-51
[2]  
Hampshire J B, 1990, IEEE Trans Neural Netw, V1, P216, DOI 10.1109/72.80233
[3]   DIFFERENTIAL COMPETITIVE LEARNING FOR CENTROID ESTIMATION AND PHONEME RECOGNITION [J].
KONG, SG ;
KOSKO, B .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1991, 2 (01) :118-124
[4]   A NEURAL DETECTOR FOR SEISMIC REFLECTIVITY SEQUENCES [J].
WANG, LX .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (02) :338-340