Improved Fruit Fly Algorithm to Optimize Generalized Regression Neural Network of Double Notch Ultra-Wideband Antenna Modeling

Jingchang Nan; Xinyuan Cao; Mingming Gao; Peihong Zhang

doi:10.3788/LOP202158.0420001

Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0420001(2021)

Improved Fruit Fly Algorithm to Optimize Generalized Regression Neural Network of Double Notch Ultra-Wideband Antenna Modeling

Jingchang Nan, Xinyuan Cao^*, Mingming Gao, and Peihong Zhang

Author Affiliations

School of Electronics and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China

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Figures & Tables(10)

Fig. 1. Structure diagram of generalized regression neural network

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Fig. 2. Structure diagram of dual notch UWB antenna

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Fig. 3. HFSS simulation results of dual notch UWB antenna. (a) S₁₁ characteristic curve; (b) V_VSWR characteristic curve

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Fig. 4. Flow chart of improved FOA-GRNN double notch UWB antenna modeling

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Fig. 5. Optimization process of FOA algorithm

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Fig. 6. Optimization process of improved FOA algorithm

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Fig. 7. Fitting situation of S₁₁ corresponding to output frequency f of three modeling methods with actual output of HFSS simulation

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Fig. 8. Fitting situation of V_VSWR corresponding to output frequency f of three modeling methods with actual output of HFSS simulation

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Table 1. Partial prediction results of antenna S₁₁ parameters by three modeling methods and relative prediction errors

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Table 1. Partial prediction results of antenna S₁₁ parameters by three modeling methods and relative prediction errors

Actualoutput /dB	GRNN		FOA-GRNN		Improved FOA-GRNN
Actualoutput /dB	Predictivevalue /dB	Relativeerror /%	Predictivevalue /dB	Relativeerror /%	Predictivevalue /dB	Relativeerror /%
-1.06193	-1.06761	0.5348	-1.06242	0.0461	-1.06198	0.0041
-1.10881	-1.11575	0.6253	-1.10947	0.0592	-1.10887	0.0052
-1.17474	-1.18387	0.7780	-1.17561	0.0740	-1.17481	0.0066
-1.26585	-1.27775	0.9400	-1.26699	0.0896	-1.26596	0.0079
-1.77476	-1.79819	1.3201	-1.77701	0.1267	-1.77497	0.0113
-4.88503	-4.93705	1.0605	-4.88995	0.1008	-4.88547	0.0089
-5.82055	-5.88455	1.0996	-5.82652	0.1025	-5.82108	0.0091
-6.93023	-7.07922	1.2840	-6.93834	0.1170	-6.93095	0.0103

Table 2. Partial prediction results of antenna V_VSWR parameters by three modeling methods and relative prediction errors

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Table 2. Partial prediction results of antenna V_VSWR parameters by three modeling methods and relative prediction errors

Actualoutput /dB	GRNN		FOA-GRNN		Improved FOA-GRNN
Actualoutput /dB	Predictivevalue /dB	Relativeerror /%	Predictivevalue /dB	Relativeerror /%	Predictivevalue /dB	Relativeerror /%
1.601681	1.599510	-0.1355	1.600599	-0.0675	1.601663	-0.0011
1.637008	1.634142	-0.1751	1.635580	-0.0872	1.636985	-0.0014
1.664341	1.660957	-0.2003	1.662654	-0.1013	1.664313	-0.0016
1.682230	1.678550	-0.2187	1.680395	-0.1090	1.682200	-0.0017
1.689849	1.686117	-0.2208	1.687989	-0.1100	1.689818	-0.0018
1.674378	1.671216	-0.1888	1.672805	-0.0939	1.674353	-0.0015
1.652895	1.650250	-0.1600	1.651582	-0.0794	1.652874	-0.0013
1.624062	1.621990	-0.1270	1.623039	-0.0629	1.624045	-0.0010

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Jingchang Nan, Xinyuan Cao, Mingming Gao, Peihong Zhang. Improved Fruit Fly Algorithm to Optimize Generalized Regression Neural Network of Double Notch Ultra-Wideband Antenna Modeling[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0420001

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Paper Information

Category: Optics in Computing

Received: Jun. 19, 2020

Accepted: Aug. 11, 2020

Published Online: Feb. 25, 2021

The Author Email: Cao Xinyuan (18240391566@163.com)

DOI:10.3788/LOP202158.0420001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Partial prediction results of antenna S11 parameters by three modeling methods and relative prediction errors

Table 1. Partial prediction results of antenna S11 parameters by three modeling methods and relative prediction errors

Table 2. Partial prediction results of antenna VVSWR parameters by three modeling methods and relative prediction errors

Table 2. Partial prediction results of antenna VVSWR parameters by three modeling methods and relative prediction errors

Table 1. Partial prediction results of antenna S₁₁ parameters by three modeling methods and relative prediction errors

Table 1. Partial prediction results of antenna S₁₁ parameters by three modeling methods and relative prediction errors

Table 2. Partial prediction results of antenna V_VSWR parameters by three modeling methods and relative prediction errors

Table 2. Partial prediction results of antenna V_VSWR parameters by three modeling methods and relative prediction errors