This paper presents a scheme for adaptively training the weights, in terms of varying the regularization parameter, in a neural network for the restoration of digital images. The flexibility of neural-network-based image restoration algorithms easily allow the variation of restoration parameters such as blur statistics and regularization value spatially and temporally within the image. This pap...

this paper presents a gain scheduled autopilot for pitch channel of a flying vehicle. the selected method is based on polynomial fuzzy systems. the method does not involve linearization about operating point. first the polynomial fuzzy model of pitch channel of the flight body is derived. next, using polynomial fuzzy system methodology the controller is design such that the outputs of the nonli...

this paper presents a hybrid technique for simultaneous estimation of parameter and function in inverse heat conduction problems. no prior information is used for the functional form of the heat flux in the present study. the scheme presented here is a combination of two different classical methods: the variable metric method (vmm) and gauss method (gm). the determination of the unknown thermal...

When the rate variation among sites is described by a gamma distribution, an important problem is how to estimate the shape parameter 01, which is an index of the degree of among-site rate variation. The parsimony-based methods for estimating (Y are simple but biased, i.e., (Y tends to be overestimated. On the other hand, the likelihood-based methods are asymptotically unbiased but take a huge ...

This work studies the free convection heat transfer from a non-isothermal permeable cone with suction and temperature-dependent viscosity. A suitable coordinate transformation is used to transform the governing equations into nonsimilar boundary layer solutions, and the cubic spline collocation method is then employed to solve the obtained governing equations. The local Nusselt number is presen...