Radio LFM Fuze Interference Identification Based on Convolutional Neural Network and Attention Mechanism

Computer Science

• Attention (Machine Learning) 100%
• Convolutional Neural Network 100%
• Frequency Modulation 100%
• Recognition Accuracy 66%
• Image Frequency 66%
• Semantic Feature 33%
• Feature Extraction 33%
• Frequency Domain 33%
• Information Channel 33%
• Time Fourier Transform 33%

Engineering

• Convolutional Neural Network 100%
• Frequency Modulation 100%
• Obtains 66%
• Recognition Accuracy 66%
• Image Frequency 66%
• Feature Extraction 33%
• Time Domain 33%
• Frequency Domain 33%
• Information Channel 33%
• Short-Time Fourier Transform 33%

Chemical Engineering

• Neural Network 100%