The neural network objects

被引:2
|
作者
Kunze, M
Steffens, J
机构
[1] Inst. für Experimentalphysik 1, Ruhr-Universität Bochum, D-44780 Bochum, Universitätsstr.
关键词
D O I
10.1016/S0168-9002(97)00031-4
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The neural network objects (NNO) is a C++ class library that contains the most popular standard neural networks together with self-organizing incremental models. The implementation takes full advantage of the OO-paradigm, i.e. all models are derived from the same abstract base classes which deal with the data structures and learning algorithms at one central place. All NNO are persistent. After training they save themselves to permanent store in a computer independent format and may be re-activated for further training or recall cycles, even on a different computer.
引用
收藏
页码:12 / 15
页数:4
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