Refrigeration Performance Analysis Using Artificial Neural Network
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9613-8_32
Reference16 articles.
1. Chang YS, Kim MS, Ro ST (2000) Performance and heat transfer characteristics of hydrocarbon refrigerants in a heat pump system. Int J Refrig 23:232–242
2. Calm JM (2008) The next generation of refrigerants—Historical review, considerations and outlook. Int J Refrig 31:1123–1133
3. Baiju V1, Muraleedharan C (2013) Application of neural network for the performance. Int J Eng Res Technol
4. Hornik K, Stinchcombe HW (1989) Multilayer feedforward networks are universal approximators. Neural Netw 2:359e366
5. Narendra KS, Parthasarathy K (1990) Identification and control of dynamical systems using neural networks. IEEE Trans Neural Netw 1:4e27
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