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Quantum probabilistic associative memory architecture., , , and . Neurocomputing, (2019)Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering., and . IJCNN, page 1-7. IEEE, (2019)A hybrid evolutionary decomposition system for time series forecasting., and . Neurocomputing, (2016)Chaos in Quantum Weightless Neuron Node Dynamics., , , and . Neurocomputing, (2016)Weightless neural network parameters and architecture selection in a quantum computer., , and . Neurocomputing, (2016)Chaos in a quantum neuron: An open system approach., , , and . Neurocomputing, (2017)Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating., , and . CoRR, (2022)Selection of Models for Time Series Prediction via Meta-Learning., and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 74-83. IOS Press, (2002)Obtaining Simplified Rule Bases by Hybrid Learning., and . ICML, page 879-886. Morgan Kaufmann, (2000)An approach to reservoir computing design and training., , and . Expert Syst. Appl., 40 (10): 4172-4182 (2013)