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    Number of items: 5.

    Article

    Peng, C.C. and Magoulas, George D. (2011) Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing. Applied Mathematics and Computation 217 (12), pp. 5421-5441. ISSN 0096-3003.

    Peng, C.C. and Magoulas, George D. (2011) Nonmonotone Levenberg–Marquardt training of recurrent neural architectures for processing symbolic sequences. Neural Computing and Applications 20 (6), pp. 897-908. ISSN 0941-0643.

    Peng, C.C. and Magoulas, George D. (2009) Nonmonotone learning of recurrent neural networks in symbolic sequence processing applications. pp. 325-335. ISSN 1865-0929.

    Peng, C.C. and Magoulas, George D. (2008) Advanced adaptive nonmonotone conjugate gradient training algorithm for recurrent neural networks. International Journal of Artificial Intelligence Tools 17 (5), pp. 963-984. ISSN 0218-2130.

    Book Section

    Peng, C.C. and Magoulas, George D. (2009) Sequence processing with recurrent neural networks. In: Rabuñal Dopico, J.R. and Dorado, J. and Pazos, A. (eds.) Encyclopedia of Artificial Intelligence. Hershey, U.S.: IGI Global, pp. 1411-1417. ISBN 9781599048499.

    This list was generated on Sat Nov 16 04:08:08 2019 GMT.