نتایج جستجو برای: sigmoid function
تعداد نتایج: 1223717 فیلتر نتایج به سال:
In this paper we present an integer programming formulation of the minimum sphere covering problem that seeks to construct a minimum number of spheres to represent the training data. Using soft threshold functions, we further derive a linear programming problem whose solution gives rise to radial basis function classifiers and sigmoid function classifiers. In contrast to traditional RBF and sig...
This paper presents performance analysis of the Evolutionary Programming-Artificial Neural Network (EPANN) based technique to optimize the architecture and training parameters of a one-hidden layer feedforward ANN model for the prediction of energy output from a grid connected photovoltaic system. The ANN utilizes solar radiation and ambient temperature as its inputs while the output is the tot...
This introductory chapter reviews the basics of artificial-neural-network theory, discusses various aspects of the hardware implementation of neural networks (in both ASIC and FPGA technologies, with a focus on special features of artificial neural networks), and concludes with a brief note on performanceevaluation. Special points are the exploitation of the parallelism inherent in neural netwo...
The present study investigates buckling characteristics of both nonlinear symmetric power and sigmoid functionally graded (FG) beams. The volume fractions of metal and ceramic are assumed to be distributed through a beam thickness by the sigmoid-law distribution (S-FGM), and the symmetric power function (SP-FGM). These functions have smooth variation of properties across the boundary rather tha...
This introductory chapter reviews the basics of artificial-neural-network theory, discusses various aspects of the hardware implementation of neural networks (in both ASIC and FPGA technologies, with a focus on special features of artificial neural networks), and concludes with a brief note on performanceevaluation. Special points are the exploitation of the parallelism inherent in neural netwo...
It is easy for a multi-layered perception (MLP) to form open plane classification borders, and for a radial basis function network (RBFN) to form closed circular or elliptic classification borders. In contrast, it is difficult for a MLP to form closed circular or elliptic classification borders, and for RBFN to form open plane classification borders. Hence, MLP and RBFN have their own advantage...
In this paper, we propose an enhanced adaptive muting method using a sigmoid function, which is based on a parameter tracking technique for the packet loss concealment algorithm of ITUT G.722 speech codec. The packet loss concealment algorithm performs an adaptive muting to prevent the generation of unnecessary noises or clicks during packet loss recovery. While a conventional muting method app...
In this paper, we propose an improved adaptive muting method using a sigmoid function for the packet loss concealment algorithm of ITU-T G.722 Recommendation. The packet loss concealment algorithm performs an adaptive muting to prevent the generation of unnecessary noise during packet loss recovery. While muting is linearly and discontinuously performed according to packet errors, our muting ap...
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