An Artificial Neural Network (ANN) in Electronic Product Design
نویسندگان
چکیده
منابع مشابه
Large amplitude vibration prediction of rectangular plates by an optimal artificial neural network (ANN)
In this paper, nonlinear equations of motion for laminated composite rectangular plates based on the first order shear deformation theory were derived. Using a perturbation method, the nonlinear equation of motion was solved and analytical relations were obtained for natural and nonlinear frequencies. After proving the validity of the obtained analytical relations, as an alternative and simple ...
متن کاملDesign of an Artificial-Neural-Network-Based
This paper analyzes a serious limitation of existing metacomputing directory service of Globus project that the existing metacomputing directory service doesn’t support application-oriented queries, and then designs an artificial-neural-network-based GRC (grid resources classifier) to eliminate this limitation. This classifier extends the metacomputing directory service by classifying grid reso...
متن کاملPrediction of Time of Capillary Rise in Porous Media Using Artificial Neural Network (ANN)
An Artificial Neural Network (ANN) was used to analyse the capillary rise in porous media. Wetting experiments were performed with fifteen liquids and fifteen different powders. The liquids covered a wide range of surface tension ( 15.45-71.99 mJ/m2 ) and viscosity (0.25-21 mPa.s). The powders also provided an acceptable range of particle size (0.012-45 μm) and surface free...
متن کاملArtificial Neural Network (ANN) models for PA lifespan
More than 60% of the Dutch motorways are covered with a porous asphalt wearing course (PA). In spite of many advantages of PA its lifespan is mostly short which causes high maintenance costs. Lifespan of PA is defined by its main damage being raveling. The main factors which cause raveling are asphalt construction/mixture and environmental factors. Therefore it is important to determine to what...
متن کاملPrediction of skin penetration using artificial neural network (ANN) modeling.
Artificial neural network (ANN) analysis was used to predict the skin permeability of selected xenobiotics. Permeability coefficients (log k(p)) were obtained from various literature sources. A previously reported equation, which was shown to be useful in the prediction of skin permeability, uses the partial charges of the penetrants, their molecular weight, and their calculated octanol water p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Studies in Informatics and Control
سال: 2012
ISSN: 1220-1766,1841-429X
DOI: 10.24846/v21i3y201204