منابع مشابه
Adaptive Transfer Functions in Radial Basis Function (RBF) Networks
The quality of Radial Basis Functions (RBF) and other nonlinear learning networks such as Multi Layer Perceptrons (MLP) depend significantly on issues in architecture, learning algorithms, initialisation heuristics and regularization techniques. Little attention has been given to the effect of mixture transfer functions in RBF networks on model quality and efficiency of parameter optimisation. ...
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The most common transfer functions in neural networks are of the sigmoidal type. In this article other transfer functions are considered. Advantages of simple gaussians, giving hyperelliptical densities, and gaussian bar functions (sums of one-dimensional gaussians) are discussed. Bi-radial functions are formed from products of two sigmoids. Product of M bi-radial functions in N -dimensional pa...
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The choice of transfer functions in neural networks is of crucial importance to their performance. Although sigmoidal transfer functions are the most common there is no a priori reason why they should be optimal in all cases. In this article advantages of various neural transfer functions are discussed and several new type of functions are introduced. Universal transfer functions, parametrized ...
متن کاملSampling Random Transfer Functions
1 EE Dept., The Pennsylvania State University. University Park, PA 16802, USA, [email protected] 2 EE Dept., The Pennsylvania State University. University Park, PA 16802, USA, [email protected] 3 EE Dept., The Pennsylvania State University. University Park, PA 16802, USA, [email protected] 4 EE Dept., The Pennsylvania State University. University Park, PA 16802, USA, [email protected]....
متن کاملA resolution comparison of horizontal and vertical magnetic transfer functions
The main goal of the present study is to identify characteristics of the inter-station horizontal magnetic responses and the vertical magnetic data, as two types of magnetotelluric transfer functions, in the modeling procedure. Through consideration of model responses and two-dimensional inversion of synthetic data, sensitivity of the data components in detecting different geophysical structure...
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ژورنال
عنوان ژورنال: The Visual Computer
سال: 2016
ISSN: 0178-2789,1432-2315
DOI: 10.1007/s00371-016-1253-9