Generalized Identification Model Based on Fuzzy-Neural Approach

In this paper we propose a generalized model of identification which displays flexible transformation within the framework of generally known paradigms by changing tunings. The application of this model enables to synthesize various classifiers using a priori information about definite applied tasks of identification. So, we describe the approach to the solution of the problem of generation of representative training sequences and correct comparative evaluation of classifiers

Generalized Identification Model Based on Fuzzy-Neural Approach

In this paper we propose a generalized model of identification which displays flexible transformation within the framework of generally known paradigms by changing tunings. The application of this model enables to synthesize various classifiers using a priori information about definite applied tasks of identification. So, we describe the approach to the solution of the problem of generation of representative training sequences and correct comparative evaluation of classifiers

Spectral properties of quadruple symmetric real functions

AbstractThis paper examined the spectral properties of quadruple symmetric real functions. Theorem is formulated, under which the complex spectra of such symmetric functions are conjugated. The properties of the trigonometric functions are used in the proof of the theorem. Numerical results are presented for illustrating of the proven theorem