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Target detection based on a new triple activation function
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DOI：10.1080/21642583.2022.2091060.png)
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摘要
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As one of the important parts of Neural Network, activation function plays a very important role in model training in Neural Network. In this paper, the status quo, advantages and disadvantages of the existing common activation functions are analysed, and a new activation function is proposed and applied to target detection. To test the performance of the new activation function, this paper compares it with the ReLU activation functions on a variety of Neural Networks and data sets, and not only analyses the performance of the activation function itself but also verifies the effectiveness of the activation function in target detection.
Keyword:
Target detection
neural network
activation function
期刊
IF:
4.4
论文数:
486
被引数:
2.1K
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