Determination of reflectance values of hypericum's leaves under stress conditions using adaptive network based fuzzy inference system

Title:

Determination of reflectance values of hypericum's leaves under stress conditions using adaptive network based fuzzy inference system

Creator:

Odabas, Mehmet Serhat, Temizel , Kadir Ersin , Caliskan, Omer, Senyer, Nurettin, Kayhan, Gokhan, and Ergun, Erhan

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:a7ee91dd-f167-40b4-b5aa-410e7a5b157f
uuid:a7ee91dd-f167-40b4-b5aa-410e7a5b157f
doi:10.14311/NNW.2014.24.004

Subject:

Reflectance, ANFIS, hypericum, salt, and water stress

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The effects of water stress and salt levels on hypericum's leaves were examined on greenhouse-grown plants of Hypericum perforatum L. by spectral reflectance. Salt levels and irrigation levels were applied 0, 1, 2.5 and 4 deci Siemens per meter (dS/m), 80%, 100% and 120% respectively. Adaptive Network based Fuzzy Inference System (ANFIS) was performed to estimate the effects of water stress and salt levels on spectral reflectance. As a result of ANFIS, it was found that there was close relationship between actual and predicted reflectance values in Hypericum perforatum L. leaves. Performance of ANFIS was examined under different numbers of epoch and rules. On the other hand, RMSE, correlation and analysis time values were found as outputs. Correlation was 99%. The estimation of optimal ANFIS model was determined in 3*3*3 number of rules with 400 epochs.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2014 Volume:24 | Number:1

Harvested from:

CDK

Metadata only:

false