Exact(1)
Artificial Neural Networks (ANNs) were then used to create a fast forward model and multi objective optimization was carried out to obtain the optimal set of geometric configurations which simultaneously maximizes the charging time and minimize the discharging time.
Similar(59)
The outcomes of present research prove the feasibility and effectiveness of adopted approach as it can provide a useful platform to model and multi-criteria optimize MRR, Ra, and TWR during EDMing WC/6%Co material.
Did you know fellow Oz-dude Jensen Interceptor is named after a baller sports car and among spinning dirty techno beats is a model and multi-media artist?
In an attempt to alleviate potential discrepancies between assumptions of linear models and multi-population data, two types of alternative models were used: (1) a multi-trait genomic best linear unbiased prediction (GBLUP) model that modelled trait by line combinations as separate but correlated traits and (2) non-linear models based on kernel learning.
Burnham, K. P. & Anderson, D. R. Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach (Springer, 2010).
Polymeric flow models, core-shell models and multi-grain models as currently used are not adequate.
However, suitable energy models, ecological assessment models and multi-criteria approaches exist with great potential for inter-linking.
This study aims at developing an analytical tool to examine wall heatwave vulnerability using dynamic thermal modelling and multi-criteria analysis.
The thermo-mechanical properties were determined by coupling SEM electrical nano-probing (displacement of flexible beam and electrical resistance as a function of applied current) with analytical modeling and Multi-physics Finite Element Method (FEM).
This paper describes the development of artificial neural network (ANN) models and multi-response optimization technique to predict and select the best cutting parameters of wire electro-discharge machining (WEDM) process.
In each of the four fields, strategically important challenges for future research are identified including the use of advanced mathematical models and multi-criteria analysis for the optimisation, from the sustainability point of view, of the systems for energy and water supply and management, solid waste management and the utilisation of biomass resources.
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