A new algorithm for nonconvex optimization by means of a so-called Fokker-Planck Learning Machine is proposed in this paper. This is done by considering the Fokker-Planck (FP) equation related to continuous simulated annealing, which has been proven to convergence to the global optimum under certain conditions. An approximate solution to the FP equation is sought by parametrizing the transition...

In this paper, Vacuum Assisted Resin Transfer Molding (VARTM) method was simulated by analytical solution. Then the effect of parameters like fiber density, distribution of layer thickness, perform layer thickness, resin viscosity was investigated theoretically. Obtained results show that by selecting optimum distribution layer thickness, increasing fiber volume fraction, reducing viscosity of ...

211 Effect of Photoperiods and Stocking Densities on Broilers INTRODUCTION High stocking densities and long lighting periods are two major environmental factors common to broiler production (1). The control of these factors at an optimum level not only increases commercial profitability, but also contributes to securing the supply of the human population with adequate food and animal protein. W...

The response of growth and yield of rainfed-chickpea to population density should be evaluated based on long-term experiments to include the climate variability. This is achievable just by simulation. In this simulation study, this evaluation was done by running the CYRUS model for long-term daily weather data of five locations in Iran. The tested population densities were 7 to 59 (with interva...

Ganoderma applanatum is one of the most popular medicinal mushrooms due to the various biologically active components it produces. This study was conducted to obtain basic information regarding the mycelial culture conditions of Ganoderma applanatum. Based on the colony diameter and mycelial density, PDA, YMA and MCM media were suitable for the mycelial growth of the mushroom. The optimum tempe...

This paper presents a unifying view of various error nonlinearities that are used in least mean square (LMS) adaptation such as the least mean fourth (LMF) algorithm and its family and the least-mean mixed-norm algorithm. Speci cally, it is shown that the LMS algorithm and its errormodi ed variants are approximations of two recently developed optimum nonlinearities which are expressed in terms ...