… using neural networks to develop potential-energy surfaces will play an increasingly
important role in MD, MC, and quantum mechanical studies of chemical reaction dynamics in the …

… introduced several models containing neural networks for the identification and control of
nonlinear dynamical systems. Prescriptive methods for the dynamic adjustment of the model …

… or inhibition and the resulting dynamic behaviour emerging from a neuronal network. As a
result of this observation, it has been suggested that each new network may require individual …

… on Artificial Neural Networks and a short simulation length obtained with finite element is
proposed for the evaluation of longer response time-series in random dynamic analysis of …

… the dynamic responses of the reference structure under a given dynamic excitation, the
emulator neural network … strategy proposed in this study performs much better than the ARMAX …

… a deep convolutional neural network (CNN) to estimate the dynamic response of a linear …
MLP has been widely used to estimate the dynamic response or characteristics of a system. …

… Two-dimensional nonlinear models and the neural gain parameter In this section we consider
the dynamics of two mutually inhibiting neural populations, each of which receives noisy …

… on a backpropagation artificial neural network. The network calculates the appropriate gains
according to the desired output, that is, the dynamic response desired which is composed of …

… recurrent neural network models can significantly outperform established response models
by … We then compared the performance of the best response model among the RNN family …

… dynamic plants using neural networks. Since … neural networks which have received
considerable attention in the area of artificial neural networks in recent years are: 1) multilayer neural …