The evolutionary learning of fuzzy neural networks (FNN) consists of structure learning to determine the proper number of fuzzy rules and parameters learning to adjust the network parameters. Many optimization algorithms can be applied to evolve FNN. However the search space of most algorithms has fixed dimension, which cannot suit to dynamic structure learning of FNN. We propose a novel techni...

This study presents a determination of the optimum operating parameters of a unipolar PWM inverter through theoretical and experimental analysis. The inverter is investigated in its simplest form without input DC-DC conversion or output filtering. The intent of this study is to understand the core of the inverter thoroughly before adding peripheral elements such as output filtering. Variations ...

The present work is a contribution of mathematical and operations research models that help in arriving at the best replacement strategies to determine an age of motor vehicle at which the replacement is most economical. Parameters like depreciation, money value, forecasted inflation, nominal interest rate and real interest rate are taken into consideration in model development and for various ...

A new approach to choosing the right calibration model is introduced. The basis is the well known DoE (Design of Experiments) methodology. It is shown that by identifying variables suspected to have impact on the model quality and using these as input variables in an experimental design, the significant effects and possible interactions can be determined. The chosen design has six variables: ty...

Huang presented a trade-off problem, taking both product quality and process adjustment cost into account, to determine the optimum parameters (i.e., the process mean and process variance) of the input characteristic in the transformation model. In Huang’s transformation model, the input characteristic, x, is assumed to be normally distributed and the output characteristic, y, is nominal-the-be...

For the four-state protocol of quantum key distribution, optimum sets of probe parameters are calculated for the most general unitary probe in which each individual transmitted photon is made to interact with the probe so that the signal and the probe are left in an entangled state, and projective measurement by the probe, made subsequent to projective measurement by the legitimate receiver, yi...

Optimization for system parameters including the modulation order, diversity order and traffic density to maximize the throughput of FHMA system with multi-level FSK is performed. Theoretical limit on the throughput and optimal system parameters are derived. The derived results can be applied to the conventional synchronous fast FHMA system with MFSK modulation based on the equivalent character...