Active Sonar Image Classification Using Deep Convolutional Neural Network Evolved by Robust Comprehensive Grey Wolf Optimizer

Najibzadeh, Maryam; Mahmoodzadeh, Azar; Khishe, Mohammad

doi:10.1007/s11063-023-11173-9

Cited by 7 publications

(1 citation statement)

References 84 publications

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“…Tian et al 37 propose a Radial basis function neural network enhanced by the chimp optimization algorithm for improved underwater image detection and recognition. Najibzadeh et al 38 propose a CNN model enhanced by a robust Grey Wolf optimizer for active sonar image classification and achieved satisfactory experimental results in terms of detection accuracy and computational complexity.…”

Section: Related Workmentioning

confidence: 99%

A streamlined approach for intelligent ship object detection using EL-YOLO algorithm

Yang,

Solihin,

Ardiyanto

et al. 2024

Sci Rep

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Maritime objects frequently exhibit low-quality and insufficient feature information, particularly in complex maritime environments characterized by challenges such as small objects, waves, and reflections. This situation poses significant challenges to the development of reliable object detection including the strategies of loss function and the feature understanding capabilities in common YOLOv8 (You Only Look Once) detectors. Furthermore, the widespread adoption and unmanned operation of intelligent ships have generated increasing demands on the computational efficiency and cost of object detection hardware, necessitating the development of more lightweight network architectures. This study proposes the EL-YOLO (Efficient Lightweight You Only Look Once) algorithm based on YOLOv8, designed specifically for intelligent ship object detection. EL-YOLO incorporates novel features, including adequate wise IoU (AWIoU) for improved bounding box regression, shortcut multi-fuse neck (SMFN) for a comprehensive analysis of features, and greedy-driven filter pruning (GDFP) to achieve a streamlined and lightweight network design. The findings of this study demonstrate notable advancements in both detection accuracy and lightweight characteristics across diverse maritime scenarios. EL-YOLO exhibits superior performance in intelligent ship object detection using RGB cameras, showcasing a significant improvement compared to standard YOLOv8 models.

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Section: Related Workmentioning

confidence: 99%

A streamlined approach for intelligent ship object detection using EL-YOLO algorithm

Yang,

Solihin,

Ardiyanto

et al. 2024

Sci Rep

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Electrical line fault prediction using a novel grey wolf optimization algorithm based on multilayer perceptron

Zhang

2024

Adv Control Appl

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Grey wolf optimization algorithm (GWO) has achieved great results in the optimization of neural network parameters. However, it has some problems such as insufficient precision, poor robustness, weak searching ability and easy to fall into local optimal solution. Therefore, a grey wolf optimization algorithm combining Levy flight and nonlinear inertia weights (LGWO) is proposed in this paper. The combination of Levy flight and nonlinear inertia weight is to improve the search efficiency and solve the problem that the search ability is weak and it is easy to fall into the local optimal solution. In summary, LGWO solves the problems of insufficient precision, poor robustness, weak searching ability and easy to fall into local optimal. This paper uses Congress on Evolutionary Computation benchmark function and combines algorithms with neural network for power line fault classification prediction to verify the effectiveness of each strategy improvement in LGWO and its comparison with other excellent algorithms (sine cosine algorithm, tree seed algorithm, wind driven optimization, and gravitational search algorithm). In the combination of neural networks and optimization algorithms, the accuracy of LGWO has been improved compared to the basic GWO, and LGWO has achieved the best performance in multiple algorithm comparisons.

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Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm

Liu,

Yan,

Wang

2023

Multimed Tools Appl

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Active Sonar Image Classification Using Deep Convolutional Neural Network Evolved by Robust Comprehensive Grey Wolf Optimizer

Cited by 7 publications

References 84 publications

A streamlined approach for intelligent ship object detection using EL-YOLO algorithm

A streamlined approach for intelligent ship object detection using EL-YOLO algorithm

Electrical line fault prediction using a novel grey wolf optimization algorithm based on multilayer perceptron

Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm

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