TY - GEN

T1 - A study on generalized neural network system for recognizing nonlinear behaviour of structures

AU - Mazda, T.

AU - Otsuka, H.

AU - Yabuki, W.

AU - Tsuruta, M.

PY - 2002/12/1

Y1 - 2002/12/1

N2 - Multiple layered neural network to simulate the non-linear hysteretic behavior like Ramberg-Osgood model, modified bilinear model and Takeda model is described. Based on the pattern recognition ability of neural network, non-linear hysteretic behavior is modeled by the network directly without replacing it with a mathematical model. Thus, the effectiveness and applicability of the network in numerical analysis are evaluated. It is found that neural network transmits the signals from the input layer to the output layer by way of the hidden layers when the input signals is received, and output layer by way o the hidden layers when the input signals is received, and output the output signals finally.

AB - Multiple layered neural network to simulate the non-linear hysteretic behavior like Ramberg-Osgood model, modified bilinear model and Takeda model is described. Based on the pattern recognition ability of neural network, non-linear hysteretic behavior is modeled by the network directly without replacing it with a mathematical model. Thus, the effectiveness and applicability of the network in numerical analysis are evaluated. It is found that neural network transmits the signals from the input layer to the output layer by way of the hidden layers when the input signals is received, and output layer by way o the hidden layers when the input signals is received, and output the output signals finally.

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M3 - Conference contribution

AN - SCOPUS:0036929717

SN - 0948749857

T3 - Proceedings of the Third International Conference on Engineering Computational Technology

SP - 209

EP - 210

BT - Proceedings of the Third International Conference on Engineering Computational Technology

A2 - Topping, B.H.V.

A2 - Bittnar, Z.

A2 - Topping, B.H.V.

A2 - Bittnar, Z.

T2 - Proceedings of the Third International Conference on Engineering Computational Technology

Y2 - 4 September 2002 through 6 September 2002

ER -