Arena P, Fortuna L, Muscato G, Xibilia MG. (1998). Neural networks in multidimensional domains Lecture Notes in Control and Information Science 234.

Arena P, Fortuna L, Xibilia MG, Re R. (1993). On the capability of neural networks with complex neurons in complex valued functions approximation Proc. IEEE Int. Conf. on Circuits and Systems.

Benvenuto N, Piazza F. (1992). On the complex back-propagation algorithm IEEE Trans Signal Processing. 40

Georgiou GM, Koutsougeras C. (1992). Complex-domain backpropagation IEEE Trans Circuits And Systems (part II). 39

Hashimoto N, Kuroe Y, Mori T. (2002). On energy function for complex-valued neural networks and its applications Proc Int Conf On Neural Information Processing. 3

ICONI ICONIP. (2002). Complex-valued neural networks Proc International Conference On Neural Information Processing. 3

KE KES. (2001). Complex-valued neural networks and their applications Knowledge-based intelligent information engineering systems and allied technologies.

KE KES. (2002). Complex-valued neural networks Knowledge-based intelligent information engineering systems and allied technologies.

Kim MS, Guest CC. (1990). Modification of backpropagation networks for complex-valued signal processing in frequency domain Proc Int Joint Conf On Neural Networks. 3

Kim T, Adali T. (2000). Fully complex backpropagation for constant envelope signal processing Proc. IEEE Workshop on Neural Networks for Signal Processing.

Lathi BP. (1998). Modern digital and analog communication systems (3rd ed).

Lippmann RP. (1987). An introduction to computing with neural nets IEEE Acoustic, Speech and Signal Processing Magazine.

Minsky M. (1969). Perceptrons.

Nitta T. (1993). A complex numbered version of the back-propagation algorithm Proc World Congress On Neural Networks. 3

Nitta T. (1997). An Extension of the Back-Propagation Algorithm to Complex Numbers. Neural networks : the official journal of the International Neural Network Society. 10 [PubMed]

Nitta T, Furuya T. (1991). A complex back-propagation learning Transactions Of Information Processing Society Of Japan. 32

Rumelhart D, Mccleland J. (1986). Parallel Distributed Processing.

Rumelhart DE, Hinton GE, Williams RJ. (1986). Learning representations by back-propagating errors. Nature. 323

Vapnik V. (1998). Statistical Learning Theory.

Watanabe A, Miyauchi M, Miyauchi A, Yazawa N. (1994). A method to interpret 3D motions using neural networks Ieice Trans Fundamentals Of Electronics, Communications And Computer Sciences. E77

Watanabe A, Seki M, Miyauchi M, Miyauchi A. (1992). Interpretation of optical flow through neural network learning Proc. IAPR Workshop on Machine Vision Applications .

Watanabe A, Seki M, Miyauchi M, Miyauchi A. (1993). Interpretation of optical flow through complex neural network Proc. Int. Workshop on Artificial Neural Networks: Lecture Notes in Computer Science. 686

Fiori S. (2005). Nonlinear complex-valued extensions of Hebbian learning: an essay. Neural computation. 17 [PubMed]