Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-33374-3_28
Reference30 articles.
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3. Aizenberg, I.: The multi-valued neuron. In: Aizenberg, I. (ed.) Complex-Valued Neural Networks with Multi-valued Neurons. SCI, vol. 353, pp. 55–94. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20353-4_2
4. Aizenberg, I., Moraga, C.: Multilayer feedforward neural network based on multi-valued neurons (MLMVN) and a backpropagation learning algorithm. Soft. Comput. 11(2), 169–183 (2007)
5. Aizenberg, I., Moraga, C., Paliy, D.: A feedforward neural network based on multi-valued neurons. In: Reusch, B. (eds.) Computational Intelligence, Theory and Applications. ASC, vol. 33, pp. 599–612. Springer, Heidelberg (2005). https://doi.org/10.1007/3-540-31182-3_55
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