Title :
Object oriented learning network and its applications
Author :
Hu, Jinglu ; Hirasawa, Kotaro
Author_Institution :
Dept. of Electr. & Electron. Syst. Eng., Kyushu Univ., Fukuoka, Japan
Abstract :
Introduces a scheme to construct object oriented learning networks (OOLN). The idea is to construct a learning network with two levels. The high-level network is built based on application specific prior knowledge such that it has a structure favorable to the applications. The low-level one consists of a class of conventional neural networks. The OOLN is expected to have both application flexibility and representation flexibility
Keywords :
adaptive control; control system synthesis; fuzzy set theory; learning (artificial intelligence); neurocontrollers; nonlinear control systems; object-oriented methods; parameter estimation; prediction theory; radial basis function networks; application flexibility; high-level network; low-level network; object oriented learning network; representation flexibility; Biological system modeling; Computer networks; Control system synthesis; Differential equations; Neural networks; Nonlinear control systems; Nonlinear equations; Object oriented modeling; Radial basis function networks; Systems engineering and theory;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831149
