The autonomous network composed of a threshold element and n delay elements can be considered as a logical model for the neural network. The discussion of the structure of the state configuration sequences, which are realizable by such a network, will give a clue to the logical operation of the neural network. This paper discusses the state configuration sequences realizable by such a network and the property of the threshold function using the connecting edges and boundary vectors. It is shown first that when the state configuration sequences can only be periodic, the maximum realizable length of the periodic sequences is 2n. Then the self-dual state configuration sequences are generated from the foregoing state configuration sequences, preserving a certain periodic sequence. It is shown that the network function in this case can be composed of an MBS function, and all boundary vectors and weights and thresholdscaneasily be determined. The structure of the realizable transient sequences is also discussed.
ImpaGt hammer tests we τe conducted to demonstrate the effect of human load o 口 vertical vlbrational characteristics ( first natuml frequency and damping factOr )of wooden fioors . The specimen was a 6 . 5m − long − span and LOm − wide wooden Hoo π Gonsisted of two l20mm wide and 300mm deep laminated wood timbers md 21mm ・ thick plywood sub − fieor . The support and live load oonditions ofthe spccimen were changed . The live load comb ed wi 出 humm bad d iture lo 記 ged 丘om O to 60 kg! m2 respe 。tively wer 即 plied to血c wooden Hoor The test results indicate , i ) Human load hardly affectS the first natural 廿eruency of the wooden 且 oor , ii ) The value of damping factor at first . natural frequency increases in proportion to the rate of humm IQad over the weight of a wood ¢ n Hoor , iii )The measured first na 血 ral fre 叩 en − cies ofthe wooden 們oors ◎ oinoide with those calculatod according to the vibration theory fbr bending Gontinuous model with the bending stiff − ness and the weight 仙 e sum of dead load and fUrnitUre load except the human [ oad ) ofthe wooden 們oo 鵡 煙 y 汐 o 鳩
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.