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14. Aizenberg, I., Moraga, C.: Multilayer feedforward neural network based on multi-valued neu-
rons (MLMVN) and a back-propagation learning algorithm. Soft Comput. 11 (2), 169-183
(2007)
15. Aizenberg, I., Aizenberg, N., Vandewalle, J.: Multi-valued and Universal Binary Neurons:
Theory, Learning, Applications, ISBN 0-7923-7824-5. Kluwer Academic Publishers, London
(2000)
16. Tripathi, B.K., Kalra, P.K.: On the learning machine for three dimensional mapping. Neural
Comput. Appl. 20 (01), 105-111 (2011)
17. Nitta, T.: A quaternary version of the backpropagation algorithm. Proc. IEEE Int. Conf. Neural
Netw. 5 , 2753-2756 (1995)
18. Nitta, T.: N-dimensional Vector Neuron. IJCAI workshop, Hyderabad (2007)
19. Nitta, T.: Orthogonality of decision boundaries in complex-valued neural networks. Neural
Comput. 16 (1), 73-97 (2004)
20. Nitta, T.: Solving the XOR problem and the detection of symmetry using a single complex-
valued neuron. Neural Netw. 16 , 1101-1105 (2003)
21. Amin, M.F., Murase, K.: Single-layered complex-valued neural network for real-valued clas-
sification problems. Neurocomputing 72 (4-6), 945-955 (2009)
22. Chen, X., Tang, Z., Li, S.: A modified error function for the complex-value back propagation
neural networks. Neural Inf. Process. 8 (1), (2005)
23. Zurada, J.M.: Introduction to Artificial Neural Systems. Jaicob publishing house, India (2002)
24. Gupta, M.M., Homma, N.: Static and dynamic neural networks. Fundamentals to Advanced
Theory, Wiley (2003)
25. Mandic, D., Goh, V.S.L.: Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely
Linear and Neural Models. Wiley, Hoboken (2009)
26. Tripathi, B.K., Kalra, P.K.: On efficient learning machine with root power mean neuron in
complex domain. IEEE Trans. Neural Netw. 22 (05), 727-738, ISSN: 1045-9227 (2011)
27. Hamilton, W.R.: Lectures on Quaternions. Hodges and Smith, Ireland (1853)
28. Schwartz, C.: Calculus with a quaternionic variable. J. Math. Phys 50 , 013523:1-013523:11
(2009)
29. Piazza, F., Benvenuto, N.: On the complex backpropagation algorithm. IEEE Trans. on Signal
Process. 40 (4), 967-969 (1992)
30. Srivastava, V.: Computational Intelligence Techniques: Development, Evaluation and Appli-
cations. PhD Thesis (Thesis defended on 26 April 2014), Uttar Pradesh Technical University,
Lucknow (2014)
31. Taylor, J.G., Commbes, S.: Learning higher order correlations. Neural Netw. 6 , 423-428 (1993)
32. Chen, M.S., Manry, M.T.: Conventional modeling of the multilayer perceptron using polyno-
mial basis functions. IEEE Trans. Neural Netw. 4 , 164-166 (1993)
33. Kosmatopoulos, E., Polycarpou,M., Christodoulou,M., Ioannou, P.: High-order neural network
structures for identification of dynamical systems. IEEE Trans. on Neural Netw. 6 (2), 422-431
(1995)
34. Amin, M.F., Islam, M.M., Murase, K.: Ensemble of single-layered complex-valued neural
networks for classification tasks. Neurocomputing 72 (10-12), 2227-2234 (2009)
35. Savitha, R., Suresh, S., Sundararajan, N., Kim, H.J.: Fast learning fully complex-valued classi-
fiers for real-valued classification problems. In: Liu, D., et al. (ed.). ISNN 2011, Part I, Lecture
Notes in Computer Science (LNCS), vol. 6675, pp. 602-609 (2011)
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