On training efficiency and computational costs of a feed forward neural network: a review
作者： Antonino Laudani , Gabriele Maria Lozito , Francesco Riganti Fulginei , Alessandro Salvini
DOI: 10.1155/2015/818243
关键词:
摘要: … The goal pursued by the works summarized in this section was to find a good deal between accuracy, computational costs, and memory footprint, in a limited resources environment like …
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B.E. Segee, Using spectral techniques for improved performance in artificial neural networks IEEE International Conference on Neural Networks. pp. 500- 505 ,(1993) , 10.1109/ICNN.1993.298608
Simon Haykin, Neural Networks: A Comprehensive Foundation ,(1998)
Babak Hassibi, David G. Stork, Second order derivatives for network pruning: Optimal Brain Surgeon neural information processing systems. ,vol. 5, pp. 164- 171 ,(1992)
F. Riganti Fulginei, A. Salvini, M. Parodi, Learning optimization of neural networks used for MIMO applications based on multivariate functions decomposition Inverse Problems in Science and Engineering. ,vol. 20, pp. 29- 39 ,(2012) , 10.1080/17415977.2011.629047
Patrick Santos, David Ouellet-Poulin, Daniel Shapiro, Miodrag Bolic, Artificial neural network acceleration on FPGA using custom instruction 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE). pp. 000450- 000455 ,(2011) , 10.1109/CCECE.2011.6030491
Kurt Hornik, Maxwell Stinchcombe, Halbert White, Multilayer feedforward networks are universal approximators Neural Networks. ,vol. 2, pp. 359- 366 ,(1989) , 10.1016/0893-6080(89)90020-8
Karl Leboeuf, Roberto Muscedere, Majid Ahmadi, Performance analysis of table-based approximations of the hyperbolic tangent activation function international midwest symposium on circuits and systems. pp. 1- 4 ,(2011) , 10.1109/MWSCAS.2011.6026515
Tianping Chen, Hong Chen, Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems IEEE Transactions on Neural Networks. ,vol. 6, pp. 911- 917 ,(1995) , 10.1109/72.392253
IS Isa, Z Saad, S Omar, MK Osman, KA Ahmad, HA Mat Sakim, None, Suitable MLP Network Activation Functions for Breast Cancer and Thyroid Disease Detection international conference on computational intelligence, modelling and simulation. pp. 39- 44 ,(2010) , 10.1109/CIMSIM.2010.93
K. Hara, K. Nakayamma, Comparison of activation functions in multilayer neural network for pattern classification world congress on computational intelligence. ,vol. 5, pp. 2997- 3002 ,(1994) , 10.1109/ICNN.1994.374710