Abstract
The performance evaluation of a copper omega type Coriolis mass flow sensor using an adaptive neuro-fuzzy inference system (ANFIS) has been studied for influencing input design parameters. The exhaustive experimentation has been carried out under various operational conditions and further this data set is utilized for modeling using ANFIS. The results are in good agreement with the experimental results stating that this technique may be applied to predict the performance of mass flow sensor.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
