Title :
Limitation in collective learnings and its possible remedy
Author_Institution :
Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA
Abstract :
A legality condition is derived theoretically for any given mapping relations to be learned collectively by a two-layered perceptron. When the mapping is legal and the number of mapping relations to be learned is not greater than the number of input nodes, a simple one-step method can be used to reach the goal of collective learning. This legality condition can be generalized to be used in the design of a `universal´ multilayered learning machine
Keywords :
learning systems; neural nets; collective learning; legality condition; mapping relations; multilayered learning machine; neural nets; simple one-step method; two-layered perceptron; Equations; Neurons; Sufficient conditions; Threshold voltage; Vectors;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170609
