Generalized correlation of refrigerant mass flow rate through adiabatic capillary tubes using artificial neural network

By Chunlei Zhang. 2005

62 citations recorded by the source corpus.

Subfields: Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/9ea3e0c34769dfa9f6515c61f23d11d681d23366

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. Hikmet Esen
2. Mehmet Esen
3. Onur Ozsolak
4. M. Kenisarin
5. K. Mahkamov

Citations in the corpus

• Forecasting of a ground-coupled heat pump performance using neural networks with statistical data weighting pre-processing (2008, background): “Neural Network’s are trained by experience, when applied an unknown input to the network it can generalize from past experiences and product a new result [9,10].”
• Modelling and experimental performance analysis of solar-assisted ground source heat pump system (2017, methodology): “There are many types of activation functions, usually used as non-linear sigmoid function steps (Sencan & Kalogirou, 2005; Zhang, 2005).”