… The sensitivities of the transfer function responses wrt the … For this reason, the order of
the transfer function is often limited … neural network and hybridbased transfer function (hybrid-…

… Hence, the system damping ability can be evaluated from the transfer function between
structural response and external disturbance. The actuation authority evaluation, however, is …

… best transfer function for training the artificial neural network has been selected. The input
variables of neural network … After that, we select the best transfer function for training the ANN. …

… lossless transfer functions. Each admittance is then individually predistorted and connected
to a 3-dB hybrid … network prototypes with a combined predistorted re ection and transmission …

… and transfer functions are normally selected through a manual process of trial-and-error that
often fails to find the best possible set of neural network … of neural networks relying on use of …

… The tangent sigmoid transfer function is the best for both hidden layers and the linear
transfer function is the best transfer function for the output layer. The network was trained by a …

… , the neural network was trained with deterioration data and the best structure of neural
network (number of hidden layers, number of neurons in hidden layer and transfer function) was …

… all parameters of a network: the number of layers, input neurons, hidden neurons, the type
of transfer functions etc. This paper will focus on optimizing the weights, transfer function, and …

… , where different activation/transfer functions are used for the … of different basis functions,
using either one single hybrid hidden … [15], mixed transfer functions within one network may be …

… Table 3 shows transfer functions used in this study (Alborzi 2001). Other important … The
most popular transfer functions which are used in the network structure of the adaptive neural …