Title :
Performing basic mathematics with neurons/nets. I
Author_Institution :
Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
fDate :
6/24/1905 12:00:00 AM
Abstract :
We introduce a way of performing basic mathematics or symbolic algebra with neurons. The method is novel because we enable knowledge encapsulated in trained neurons to be utilised to prescribe the weights vectors of other neurons. The knowledge encapsulated in the trained neurons in this case is numerical values
Keywords :
cellular neural nets; mathematics computing; symbol manipulation; basic mathematics; neurons; numerical values; symbolic algebra; weights vectors; Decision making; Differential equations; History; Learning; Mathematics; Matrices; Neural networks; Neurons; Partial differential equations; Sun;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005538
