This paper attempts to make an quantitative evaluation of available normalization techniques of matching scores in multimodal biometric systems. Two new normalization techniques Four Segments Piecewise Linear (FSPL) and Linear Tanh Linear (LTL) have been proposed in this paper. FSPL normalization techniques divides the region of genuine and impostor scores into four segments and maps each segme...

The position accuracy of the third mirror’s Z axis will directly affect measurement optical telescope, so it is necessary to improve accuracy. In order control performances Z-axis a large this paper proposes novel algorithm based on hyperbolic tangent function (tanh). proposed used replace traditional integral separated proportional-integral (IS-PI) controller which widely in industry servo sys...

This study proposes novel Long Short-Term Memory (LSTM)-based classifiers through developing the internal structure of LSTM neural networks using 26 state activation functions as alternatives to traditional hyperbolic tangent (tanh) function. The have high performance in solving vanishing gradient problem that is observed recurrent networks. Performance investigations were carried out utilizing...

We derive bounds on the error, in high-order Sobolev norms, incurred approximation of Sobolev-regular as well analytic functions by neural networks with hyperbolic tangent activation function. These provide explicit estimates error respect to size networks. show that tanh only two hidden layers suffice approximate at comparable or better rates than much deeper ReLU