In this paper an adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented. The capability of the proposed method (we named ANFIS2) to function approximation and dynamical system identification is shown. The ANFIS2 structure ...

the objective of this study was to simulate carbon monoxide (co) dispersion exited from the stacks of a cement industry in doroud, iran by gaussian model (gm). four sampling period was conducted for the measurement of co from the factory's three-stack flow during a period of one year. the input parameters were the rate of co emission, meteorological data,  factors related to the stack, and...

The coherence resource theory needs to study the operational value and efficiency which can be broadly formulated as question: when one coherent state converted into another under incoherent operations. We answer this question completely for one-mode continuous-variable systems by characterizing conversion of Gaussian states operations in terms their first second moments. no-go theorem purifica...

We have investigated new Pauli Fibonacci and Lucas quaternions by taking the components of these as Gaussian numbers, respectively. calculated some basic identities for quaternions. Later, generating functions Binet formulas are obtained Furthermore, Honsberger’s identity, Catalan’s Cassini’s been given

We study the problem of estimating temperature Gaussian systems with feasible measurements, namely and photo-detection-like measurements. For we develop a general method to identify optimal measurement numerically, derive analytical solutions in some relevant cases. class single-mode states that includes thermal ones, is either Heterodyne or Homodyne, depending on regime. This contrast setting,...