نتایج جستجو برای: multiple criteria networks

تعداد نتایج: 1375260  

احمدی زر, فردین, اخلاقیان‏ طاب, فردین, سلطانیان, خه‏ بات,

Application of artificial neural networks (ANN) in areas such as classification of images and audio signals shows the ability of this artificial intelligence technique for solving practical problems. Construction and training of ANNs is usually a time-consuming and hard process. A suitable neural model must be able to learn the training data and also have the generalization ability. In this pap...

Journal: :Mathematics 2023

One of the most widespread multi-criteria decision-making methods is Analytic Hierarchy Process (AHP). AHP successfully combines pairwise comparisons method and hierarchical approach. It allows decision-maker to set priorities for all ranked alternatives. But what if, some them, their ranking value known (e.g., it can be determined differently)? The Heuristic Rating Estimation (HRE) proposed in...

Journal: :Applied Mathematics and Computation 1997

Journal: :Annals OR 2007
Fernando Tavares-Pereira José Rui Figueira Vincent Mousseau Bernard Roy

Districting problems are of high importance in many different fields. Multiple criteria models seem a more adequate representation of districting problems in real-world situations. Real-life decision situations are by their very nature multidimensional. This paper deals with the problem of partitioning a territory into “homogeneous” zones. Each zone is composed of a set of elementary territoria...

Journal: :international journal of environmental research 2010
v. eyupoglu b. eren e. dogan

artificial neural networks (anns) are computer techniques that attempt to simulate the functionality and decision-making processes of the human brain. in the past few decades, artificial neural networks (anns) have been extensively used in a wide range of engineering applications. there are only a few applications in liquid membrane process. the objective of this research was to develop artific...

2001
Ricardo P. Beausoleil

This paper reports an evolutionary approach called Scatter Search, that uses the concept of Pareto optimality to obtain a good approximate Pareto frontier. In order to designate a subset of strategies to be a reference solutions a choice function called Kramer Selection is used. A variant of measure of Kemen-Snell may be used, in our case study, in order to find a diverse set to complement the ...

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