β Scribed by Gilbert L. Molas; Fumio Yamazaki
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A model-based neural network is developed for spectrum estimation. Its architecture and learning mechanism are founded on the Einsteinian interpretation of the spectrum as a probability distribution of photons. By considering a spectrum as an ensemble of photons, we derive the neural learning mechan
The procedure commonly employed to assess the seismic vulnerability of buildings uses simpli"ed qualitative and quantitative observations obtained from the measured data entered into report forms. In Italy, the data sheets adopted by the National Defence Group against Earthquakes (Gruppo Nazionale p
This paper deals with the problem of response approximation of mechanical structures by using a neural network. The conventional network used for this purpose is the back propagation neural network which remains empirical. On the other hand, the work of the new architecture of neural networks consis
A neural network for the prediction of oscillatory loads used for on-line health monitoring of flight critical components in an AH-64A helicopter is described. The neural network is used to demonstrate the potential for estimating loads in the rotor system from fixed-system information. Estimates of