Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey

Author:

Pezeshki ZahraORCID,Mazinani Sayyed Majid

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference58 articles.

1. Ahmad S, Khan L (2017) Performance analysis of conjugate gradient algorithms applied to the neuro-fuzzy feedback linearization-based adaptive control paradigm for multiple HVDC Links in AC/DC power system. Energies 10(819):1–23

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3. Ak V (1993) An approach for the design of the energy efficient building and the settlement. Ph.D. thesis. Natural Sciences Institute, Istanbul Technical University, Istanbul

4. Alasha’ary H, Moghtaderi B, Page A, Sugo H (2009) A neuro–fuzzy model for prediction of the indoor temperature in typical Australian residential buildings. Energy Buildings 41:703–710

5. Ali MM, Khan MA, Shafi M, Abdul M, Khan O, Farooky MAA, Azam S, Khasim S, Ahmed SWE (2014) Heat ventilation & air-conditioning system with self-tuning fuzzy PI controller. Int J Mod Eng Res (IJMER) 4(9):24–35

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