One-Bit Gridless DOA Estimation with Multiple Measurements Exploiting Accelerated Proximal Gradient Algorithm

Tang, Wen-Gen; Jiang, Hong

doi:10.1007/s00034-021-01829-z

Cited by 6 publications

(1 citation statement)

References 36 publications

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“…Subsequently, the AdaBound bionic algorithm is introduced to optimize the proposed BRNN model in path analysis (Tang et al, 2021). Compared with the Stochastic Gradient Descent (SGD) algorithm, the adaptive optimization method has weak generalization, and an extreme learning rate will lead to poor performance (Shi et al, 2020).…”

Section: Model Optimization With Bionic Algorithmsmentioning

confidence: 99%

Exploration of Financial Market Credit Scoring and Risk Management and Prediction Using Deep Learning and Bionic Algorithm

Shu

2021

Journal of Global Information Management

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The purpose is to effectively manage the financial market, comprehensive assess personal credit, reduce the risk of financial enterprises. Given the systemic risk problem caused by the lack of credit scoring in the existing financial market, a credit scoring model is put forward based on the deep learning network. The proposed model uses RNN (Recurrent Neural Network) and BRNN (Bidirectional Recurrent Neural Network) to avoid the limitations of shallow models. Afterward, to optimize path analysis, bionic optimization algorithms are introduced, and an integrated deep learning model is proposed. Finally, a financial credit risk management system using the integrated deep learning model is proposed. The probability of default or overdue customers is predicted through verification on three real credit data sets, thus realizing the credit risk management for credit customers.

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Section: Model Optimization With Bionic Algorithmsmentioning

confidence: 99%