Hourly predictive Levenberg–Marquardt ANN and multi linear regression models for predicting of dew point temperature

By Mohammad Zounemat‐Kermani. Meteorology and atmospheric physics (Print), 2012

69 citations recorded by the source corpus.

Subfields: Animal Science and Zoology, Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/221d922e7b085d64a5b2ec9e4040c0b2999f08ff

How researchers see this paper

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

In Animal Science and Zoology

1. Ozgur Kisi

In Environmental Engineering

1. Mohammad Zounemat‐Kermani
2. Meysam Alizamir
3. Behrooz Keshtegar
4. Hamed Ghohani Arab
5. Ozgur Kisi
6. Jan Adamowski
7. Kwok-Wing Chau
8. Masoud Karbasi

In Plant Science

1. Ozgur Kisi

Citations in the corpus

• Modeling groundwater fluctuations by three different evolutionary neural network techniques using hydroclimatic data (2017, background): “There are three kinds of neurons in usual and typical ANNs: (a) output neurons, those that send data out of the network, (b) input neurons which receive external data and (c) hidden neurons whose signals remain into the ANN and join the input layer neurons to the neurons of the output layer (Samani ”
• Subset Modeling Basis ANFIS for Prediction of the Reference Evapotranspiration (2018, background): “They are capable of performing parallel computations and can provide promising results for precisely/imprecisely formulated problems as well as for related phenomena to experimental data and field observations (Zounemat-Kermani 2012).”