caa a22 4500 477097162 CHVBK 20180405111530.0 cr unu---uuuuu 170330e19960701xx s 000 0 eng 10.1007/BF01183155 doi (NATIONALLICENCE)springer-10.1007/BF01183155 Neural network training enhancement [Elektronische Daten] [W. Porter, W. Liu] In this study we explore the use of nonlinear embedding maps to expand the dimension of the input space. The efficacy of such maps to speed training and to enhance performance is illustrated through several examples. A natural connection to nonlinear synaptic interconnects is also developed. Birkhäuser, 1996 Porter W. The Laboratory of Advanced Computer Studies, The University of Alabama in Huntsville, 35899, Huntsville, Alabama aut Liu W. The Laboratory of Advanced Computer Studies, The University of Alabama in Huntsville, 35899, Huntsville, Alabama aut Circuits, Systems and Signal Processing Birkhäuser-Verlag 15/4(1996-07-01), 467-480 0278-081X 15:4<467 1996 15 34 https://doi.org/10.1007/BF01183155 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01183155 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Porter W. The Laboratory of Advanced Computer Studies, The University of Alabama in Huntsville, 35899, Huntsville, Alabama aut NATIONALLICENCE 700 1- Liu W. The Laboratory of Advanced Computer Studies, The University of Alabama in Huntsville, 35899, Huntsville, Alabama aut NATIONALLICENCE 773 0- Circuits, Systems and Signal Processing Birkhäuser-Verlag 15/4(1996-07-01), 467-480 0278-081X 15:4<467 1996 15 34 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer