Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree

Keshtegar, Behrooz; Mert, Cihan; Kisi, Özgür

doi:10.1016/j.rser.2017.07.054

Cited by 127 publications

(52 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This means that the adequacy of Kriging models is better than that of RSM methods. Similar outcomes can be found in the publications of [25,33].…”

Section: Model Fitnesssupporting

confidence: 88%

“…However, the aforementioned works regarding parametric optimization for the WEDM processes have still the following deficiencies. *For correspondence When the relationships between inputs and outputs are highly nonlinear, the traditional technique, such as RSM, does not ensure predictive accuracy due to an estimating error [25]. The other approaches, including AI and FNS, are considered to be better than the RSM models when modelling the nonlinear WEDM processes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of WEDM process of mould material using Kriging model to improve technological performances

Nguyen

Duong

2019

Sādhanā

View full text Add to dashboard Cite

Improving the technical performance of the wire electro-discharge machining (WEDM) process is an effective solution to decrease manufacturing costs. This paper addresses a multi-response optimization to simultaneously improve the cutting area rate CAR and decrease the kerf width AKW, while the average surface roughness ASR is predefined as a constraint. The processing conditions considered include the pulse-on time T on , the current I, the voltage V and the wire speed S. A WEDM machine was adopted in conjunction with the Box-Behnken matrix to conduct experimental trials for machining of SKD61 steel. Highly nonlinear relationships between machining parameters and technological outputs were developed using the Kriging models. Finally, an archive-based micro-genetic algorithm (AMGA) was used to resolve the trade-off analysis among three responses and determine the optimal values of the processing factors. The results showed that a set of feasible solutions can be determined for the low kerf width as well as the surface roughness and the high cutting area rate. The selection of optimum parameters could help the WEDM operators to save the machining costs and time. The combination of the Kriging model and AMGA could be considered as an intelligent approach for modelling WEDM processes and predicting optimal results.

show abstract

“…This means that the adequacy of Kriging models is better than that of RSM methods. Similar outcomes can be found in the publications of [25,33].…”

Section: Model Fitnesssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Optimization of WEDM process of mould material using Kriging model to improve technological performances

Nguyen

Duong

2019

Sādhanā

View full text Add to dashboard Cite

show abstract

“…Replication of the center point was aims to evaluate the pure error variance as the experimental error and to control the adequacy of the model. To estimate the coefficients of the response function and predict the system's responses, analysis of the experimental results of CCD was realized using empirical second-order polynomial equations as follows: (Amiri et al, 2018;Keshtegar et al, 2018) .…”

Section: Experimental Design For Optimization and Statistical Analysismentioning

confidence: 99%

Model development to enhance the solvent extraction of rice bran oil

Mas’ud

Fajar

Bangngalino

et al. 2019

OCL

View full text Add to dashboard Cite

Rice bran oil (RBO) extraction with ethanol using maceration method accompanied by stirring has been optimized using response surface methodology (RSM) based on central composite design (CCD). Experiments were conducted to investigate the influence of extraction time, ethanol concentration, and ethanol volume on the oil yield, g-oryzanol, and vitamin E of RBO as the response. The experiment consisted of twenty units including six replicates of the center points. The data were analyzed using Design-Expert 10 software to develop and evaluate models and to plot the response curve as 3D surfaces. The result showed that the maximum of the oil yield, g-oryzanol, and vitamin E of RBO was achieved under the optimum conditions of x 1 = 5.30 h, x 2 = 89.21% and x 3 = 686.66 mL (50 g rice bran), respectively. Maximum of the response under these conditions was 14.47%, 783.65 mg.L À1 , and 127.01 mg.L À1 , respectively. This study has resulted in the development of a model for RBO extraction using ethanol as solvent, it is feasible to be applied to the RBO industry with an efficient process, as well as an implementation of the "green" solvent concept.

show abstract

“…Additionally, different hybrid approaches, such as Taguchi-based methods, GRA, and hybrid approach were used to resolve the optimizing issues. However, the RSM formulations possess a low predictive precision due to the approximating characteristic [16]. The results selected directly from experimental data with the aid of the mentioned integrative methods may obtain the local optimization [17].…”

Section: Introductionmentioning

confidence: 99%

Experiments and optimization for the WEDM process: A trade-off analysis between surface quality and production rate

et al. 2020

View full text Add to dashboard Cite

This work addressed a parameter optimization to simultaneously decrease the root mean square roughness (Rq) as well as the thickness of the white layer (TW) and improve the material removal rate (MRR) for the wire electro-discharge machining (WEDM) of a stainless steel 304 (SS304). The factors considered are the discharge current (C), the gap voltage (VO), the pulse on time (POT), and the wire drum speed (SP). The interpolative radius basic function (RBF) is applied to show the correlation between the varied factors and WEDM performances measured. The optimal selection is chosen using the multi-objective particle swarm optimization (MOPSO). Moreover, a traditional one using the response surface method (RSM) and desirability approach (DA) is adopted to compare the working efficiency of two optimization techniques. The results showed that the optimal findings of the C, POT, VO, and SP are 5.0 A, 1.0 µs, 61.0 V, and 8.0 m/min, respectively. The values of the Rq and TW are decreased by approximately 33.33% and 23.53%, respectively, while the MRR enhances 47.42% at the optimal selection, as compared to the common values used. The BRF-MOPSO can provide better performance than the RSM-DA.

show abstract

Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree

Cited by 127 publications

References 56 publications

Optimization of WEDM process of mould material using Kriging model to improve technological performances

Optimization of WEDM process of mould material using Kriging model to improve technological performances

Model development to enhance the solvent extraction of rice bran oil

Experiments and optimization for the WEDM process: A trade-off analysis between surface quality and production rate

Contact Info

Product

Resources

About