Title :
Searching for the orthogonal states of a neural network
Author :
Chao, Daniel Y. ; Wang, David T.
Author_Institution :
Dept.of Comp. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
Two approaches to finding orthogonal states of a neural network are discussed. The first is a recursive approach; it builds N orthogonal vectors form N/2 orthogonal vectors. The second is a formula approach, in which orthogonal vectors can be obtained using a formula. It is observed that the formula approach is more efficient than the recursive approach. Properties of the neural network constructed from the orthogonal vectors are presented. An example is discussed
Keywords :
neural nets; search problems; vectors; formula approach; neural network; orthogonal state searching; orthogonal vectors; recursive approach; Associative memory; Chaos; Computer networks; Hamming distance; Information science; Neural networks; Neurons; Pattern recognition; Prototypes;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
DOI :
10.1109/RNNS.1992.268512
