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A novel prediction model based on long short-term memory optimised by dynamic evolutionary glowworm swarm optimisation for money laundering risk.
Pingfan Xia
Zhiwei Ni
Xuhui Zhu
Qizhi He
Qian Chen
Published in:
Int. J. Bio Inspired Comput. (2022)
Keyphrases
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money laundering
genetic algorithm
recurrent neural networks
anti money laundering
risk management
long short term memory
particle swarm optimization
evolutionary process
real world
machine learning
multi class
evolutionary computation
swarm intelligence