Adaptive Neuro-Fuzzy Inference System (Anfis) to Predict Ci Engine Parameters Fueled with Nano-Particles Additive to Diesel Fuel
This paper studies the use of adaptive neuro-fuzzy inference system (ANFIS) to predict the performance parameters and exhaust emissions of a diesel engine operating on nanodiesel blended fuels. In order to predict the engine parameters, the whole experimental data were randomly divided into training...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IOP Publishing
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/10532/ http://umpir.ump.edu.my/id/eprint/10532/1/ADAPTIVE%20NEURO-FUZZY%20INFERENCE%20SYSTEM%20%28ANFIS%29%20TO%20PREDICT%20CI%20ENGINE%20PARAMETERS%20FUELED%20WITH%20NANO-PARTICLES%20ADDITIVE%20TO%20DIESEL%20FUEL.pdf http://umpir.ump.edu.my/id/eprint/10532/7/fkm-2015-najafi-%20Adaptive%20Neuro-Fuzzy%20Inference%20System.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/10532/http://umpir.ump.edu.my/id/eprint/10532/1/ADAPTIVE%20NEURO-FUZZY%20INFERENCE%20SYSTEM%20%28ANFIS%29%20TO%20PREDICT%20CI%20ENGINE%20PARAMETERS%20FUELED%20WITH%20NANO-PARTICLES%20ADDITIVE%20TO%20DIESEL%20FUEL.pdf
http://umpir.ump.edu.my/id/eprint/10532/7/fkm-2015-najafi-%20Adaptive%20Neuro-Fuzzy%20Inference%20System.pdf