Laser & Optoelectronics Progress, Volume. 57, Issue 1, 012001(2020)
Reverse Modeling Method for BRBP Neural Network Power Amplifier Based on Improved Ant Colony Algorithm
Fig. 1. BRBP neural network structure
Fig. 2. Overall circuit diagram of reconfigurable power amplifier
Fig. 3. Relationship between return loss S11 and capacitance C
Fig. 4. Relationship among power added efficiency PAE, output power P, and capacitance C
Fig. 5. Process of IACO-BRBP neural network reverse modeling for reconfigurable power amplifier
Fig. 6. Fitting contrast diagram of capacitance values C
Fig. 7. Fitting contrast diagram of output power P
Fig. 8. Comparison of output values C of three reverse models and actual values C required by ADS
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Jingchang Nan, Jing Zang, Mingming Gao. Reverse Modeling Method for BRBP Neural Network Power Amplifier Based on Improved Ant Colony Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(1): 012001
Category: Optics in Computing
Received: Jun. 22, 2019
Accepted: Jul. 22, 2019
Published Online: Jan. 3, 2020
The Author Email: Zang Jing (2681318835@qq.com)