A review of genetic programming: Popular techniques, fundamental aspects, software tools and applications
Genetic Programming (GP) is one of the evolutionary computation (EC) methods followed
with great interest by many researchers. When GP first appeared, it has become a popular …
with great interest by many researchers. When GP first appeared, it has become a popular …
Maximum likelihood distillation for robust modulation classification
Deep Neural Networks are being extensively used in communication systems and Automatic
Modulation Classification (AMC) in particular. However, they are very susceptible to small …
Modulation Classification (AMC) in particular. However, they are very susceptible to small …
Evolutionary optimization of residual neural network architectures for modulation classification
Automatic modulation classification receives significant interest in the context of current and
future wireless communication systems. Deep learning emerged as a powerful tool for …
future wireless communication systems. Deep learning emerged as a powerful tool for …
Parameter Estimation based Automatic Modulation Recognition for Radio Frequency Signal
S Wang, K Yang, Z Ji, Q Zhang, H Pan - arXiv preprint arXiv:2412.08251, 2024 - arxiv.org
Automatic modulation recognition (AMR) critically contributes to spectrum sensing, dynamic
spectrum access, and intelligent communications in cognitive radio systems. The …
spectrum access, and intelligent communications in cognitive radio systems. The …
[PDF][PDF] Bagging-based ensemble classifiers using multi-objective Genetic Programming
Y Zheng, F Zhang, X Gao, J Ma - 2024 - scholar.archive.org
As an effective evolutionary computation algorithm, Genetic Programming (GP) can be
designed as effective classifiers due to its flexible representation method. However, the …
designed as effective classifiers due to its flexible representation method. However, the …