Title:
人工連想ニューロンシナプス
Document Type and Number:
Japanese Patent JP2004517407
Kind Code:
A
Abstract:
The invention relates to a method for determining a weight coefficient of an artificial associative neuron synapse, where the synaptic weight coefficient is determined on the basis of the temporal average of a product of two signals. The method comprises the steps of taking temporal samples from the product of said two signals at such moments when one of the signals starts to deviate from zero, feeding said samples into such a shift register chain, from where a predetermined number of said samples taken at previous moments are continuously available, deducing on the basis of said samples taken at previous moments, whether a value deviating from zero is to be set as the synaptic weight coefficient. The invention also relates to an artificial associative neuron synapse.
Inventors:
Hikkonen, Pentti
Application Number:
JP2002553723A
Publication Date:
June 10, 2004
Filing Date:
October 31, 2001
Export Citation:
Assignee:
NOKIA CORPORATION
International Classes:
G06G7/60; G06N3/04; G06N3/063; (IPC1-7): G06N3/063; G06G7/60
Attorney, Agent or Firm:
Atsushi Aoki
Jun Tsuruta
Tetsuro Shimada
Shimichi Akihisa
Masaya Nishiyama
Jun Tsuruta
Tetsuro Shimada
Shimichi Akihisa
Masaya Nishiyama