A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID controller in decoupled HVAC system
The energy efficiency of a heating, ventilating and air conditioning (HVAC) system optimized using a radial basis function neural network (RBFNN) combined with the epsilon constraint (EC) method is reported. The new method adopts the advanced algorithm of RBFNN for the HVAC system to estimate the re...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier Ltd
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/72613/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957990948&doi=10.1016%2fj.applthermaleng.2016.01.025&partnerID=40&md5=65a3a2826c0dbbf6b057807f8e33910b |
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