[1] Huang W R, Ouyang J. The design of wideband filters based on artificial neural network[J]. Video Engineering, 44, 55-57(2020).

[2] Cao Y Z, Reitzinger S, Zhang Q J. Simple and efficient high-dimensional parametric modeling for microwave cavity filters using modular neural network[J]. IEEE Microwave and Wireless Components Letters, 21, 258-260(2011).

[3] Nath M, Gupta B. Analysis of EM scattering in waveguide filter using neural network[J]. International Journal of Electronics and Computer Science Engineering, 1, 639-642(2012).

[4] Tao X L, Sun J J, Hu J et al. Design of wideband multimode filters with non-equiripple responses based on neural network[C], 458-460(2020).

[5] Kacmajor T, Kant P, Michalski J J. Microwave filter tuning for different center frequencies based on Artificial Neural Network and phase compensation[C], 14599199(2014).

[6] Tomar G S, Kushwah V S, Bhadauria S S. Artificial neural network design of stub microstrip band-pass filters[J]. International Journal of Ultra Wideband Communications and Systems, 3, 38-49(2014).

[7] Nan J C, Wang Z Q, Gao M M et al. Sparse Bayesian regularized inverse neural network modeling of UWB filter[J]. Computer Applications and Software, 35, 232-237(2018).

[8] Nan J C, Zang J, Gao M M. Reverse modeling method for BRBP neural network power amplifier based on improved ant colony algorithm[J]. Laser & Optoelectronics Progress, 57, 012001(2020).

[9] Hu T T. Research on neural network inverse modeling methods of radio frequency modules[D](2019).

[10] Tao X L. Synthesis and optimization design of microwave filters based on neural network[D](2020).

[11] Song H S, Ma L Z, Zhu E G et al. Plastic classification and recognition by laser-induced breakdown spectroscopy and GA-BP neural network[J]. Laser & Optoelectronics Progress, 57, 153002(2020).

[12] Zhao S J, Gao L F, Yu D M et al. Ant lion optimizer with chaotic investigation mechanism for optimizing SVM parameters[J]. Journal of Frontiers of Computer Science and Technology, 10, 722-731(2016).

[13] Cui D W, Wang Z B. Model and application based on ALO-ENN algorithm in flood disaster evaluation[J]. Pearl River, 37, 44-50(2016).

[14] Yang X W, Yin H H, Han X et al. Mesh segmentation based on optimizing extreme learning machine with ant lion optimization[J]. Laser & Optoelectronics Progress, 57, 041014(2020).

[15] Emary E, Zawbaa H M, Hassanien A E. Binary ant lion approaches for feature selection[J]. Neurocomputing, 213, 54-65(2016).

[16] Xu Q S, He Q, Wei K Y. Modified ant lion optimizer based coverage optimization of wireless sensor network[J]. Chinese Journal of Sensors and Actuators, 32, 266-275(2019).

[17] Liu J S, Huo Y, Li Y. Preferred strategy based self-adaptive ant lion optimization algorithm[J]. Pattern Recognition and Artificial Intelligence, 33, 121-132(2020).

[18] Zong Y, Liu D F, Liu Y A. Model parameter identification of rice wine fermentation process based on an improved ant lion algorithm[J]. Food and Fermentation Industries, 47, 153-159(2021).

[19] Nan J C, Du J J, Gao M M. Research on BP-RBF power amplifier behavior model optimized by ant lion algorithm[J]. Journal of Microwaves, 36, 32-37(2020).

[20] Gupta D, Hazarika B B, Berlin M. Robust regularized extreme learning machine with asymmetric Huber loss function[J]. Neural Computing and Applications, 32, 12971-12998(2020).

[21] Balasundaram S, Prasad S C. Robust twin support vector regression based on Huber loss function[J]. Neural Computing and Applications, 32, 11285-11309(2020).

[22] Zhang F L, Zhai S, Pan J et al. Three-dimensional multi-microring resonance filter based on Sagnac-like interferometer[J]. Chinese Journal of Lasers, 47, 1113003(2020).

[23] Liu J J, Wang D B, Tuo M S et al. Joint estimation algorithm of time offset and channel response for coherent optical FBMC-OQAM systems[J]. Chinese Journal of Lasers, 47, 1106001(2020).

[24] Nan J C, Zuo Y R, Gao M M. A novel UWB filter with dual notched bands based on open-circuit stub loading[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 32, 976-983(2020).