DocumentCode
2447740
Title
Fuzzy neural networks application for road vehicle energy consumption management
Author
Rizzotto, G. ; Lo Presti, M. ; Di Marco, F. ; Berta, G. ; Lanzafame, R.
Author_Institution
SGS-Thomson Microelectron., Agrate Brianza, Italy
fYear
1994
fDate
18-21 Dec 1994
Firstpage
84
Lastpage
85
Abstract
The energy consumption of road vehicles depends on many parameters, that cannot be taken into account by meant of the traditional analysis systems. The aim of this work is to compare the efficiency of Fuzzy Logic with that of traditional mathematical method, to determinate the road fuel consumption model by using only four measured variables of a vehicle driven in heavy city traffic conditions
Keywords
fuzzy control; fuzzy logic; neural nets; road vehicles; energy consumption management; fuzzy neural networks; heavy city traffic; road fuel consumption model; road vehicle; Automatic control; Energy consumption; Energy management; Engines; Fuels; Fuzzy logic; Fuzzy neural networks; Road vehicles; Steady-state; Vehicle driving;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-2125-1
Type
conf
DOI
10.1109/IJCF.1994.375145
Filename
375145
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