In this paper, we propose a general design of rectangular microstrip antenna with and without rectangular aperture over ground plane, based on artificial neural networks (ANN) in conjunction with spectral domain formulation. In the design procedure, syntheses ANN model is used as feed forward network to determine the resonant frequency and bandwidth. Analysis ANN model is used as the reversed o...

the effects of different climatic, soil, geometric, and management factors on soil organic carbon (soc) degradation and sequestration potential was evaluated in the semi-arid zone of mereg watershed, west of iran. two nonparametric methods, viz. classification and regression tree (cart) and feed forward back propagation artificial neural network (ann) were compared with parametric multivariate ...

Enzymatic hydrolysis of cellulose is a complex process because of a number of inhibition and enzyme inactivation reactions which happen during hydrolysis. Artificial Neural Networks (ANNs) are very effective in developing predictive models for processes involving complex reaction kinetics that would otherwise be difficult to be modeled by more traditional deterministic approaches. The present i...

The intrinsic hysteresis behavior of piezoelectric material limits the tracking control accuracy of the actuators. This paper describes a tracking control method for piezoelectric actuators based on the combination of feedforward and feedback loops. The hysteresis of piezoelectric actuators is linearized in feedforward loop with an inverse hysteresis model based on a neural network. The number ...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

An artificial neural network algorithm is implemented using a field programmable gate array hardware. One hidden layer is used in the feed-forward neural network structure in order to discriminate one class of patterns from the other class in real time. With five 8-bit input patterns, six hidden nodes, and one 8-bit output, the implemented hardware neural network makes decision on a set of inpu...

Feed-forward neural networks are commonly used for pattern classification. The classification accuracy of feed-forward neural networks depends on the configuration selected and the training process. Once the architecture of the network is decided, training algorithms, usually gradient descent techniques, are used to determine the connection weights of the feed-forward neural network. However, g...

The failure rate analysis of brake assemblies of a commercial airplane, i.e., Boeing 737, is analyzed using the artificial neural network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. Three years of data are used for model building and validation. The results ...

Network models with linear-threshold rate dynamics have been widely used to explain the behavior of biological neural networks and replicate it using artificial neural networks. A full characterization of the stability properties of these networks, nevertheless, has remained elusive. This paper addresses the study of the existence and uniqueness of equilibria and asymptotic stability, leading t...