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Published in 2019 at "Cluster Computing"
DOI: 10.1007/s10586-019-02913-5
Abstract: This work proposes a new evolutionary multilayer perceptron neural networks using the recently proposed Bird Swarm Algorithm. The problem of finding the optimal connection weights and neuron biases is first formulated as a minimization problem…
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Keywords:
networks using;
bird swarm;
swarm algorithm;
neural networks ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3061585
Abstract: With the commercialization of 5G, in order to recognize QAM signals, one of the main modulation modes in 5G communication systems, this paper put forward the BP-BSA network model based on bird swarm algorithm (BSA)…
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Keywords:
neural network;
swarm algorithm;
bird swarm;
recognition ... See more keywords
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Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/6638436
Abstract: When a photovoltaic (PV) system is connected to the electric power grid, the power system reliability may be exposed to a threat due to its inherent randomness and volatility. Consequently, predicting PV power generation becomes…
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Keywords:
machine;
algorithm;
bird swarm;
power ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4063354
Abstract: Remote sensing image (RSI) scene classification has become a hot research topic due to its applicability in different domains such as object recognition, land use classification, image retrieval, and surveillance. During RSI classification process, a…
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Keywords:
sensing image;
remote sensing;
intelligence;
bird swarm ... See more keywords
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Published in 2022 at "Axioms"
DOI: 10.3390/axioms11090485
Abstract: Optimization is essential for applications since it can improve the results provided in different areas; for this task, it is beneficial to use soft computing techniques, such as bio-inspired algorithms. In addition, it has been…
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Keywords:
adaptation bird;
parameter adaptation;
dynamic parameter;
fuzzy ... See more keywords