نتایج جستجو برای: artificial intelligence based modeling
تعداد نتایج: 3409397 فیلتر نتایج به سال:
Glossary Behavior The observable manifestation of an interaction with a system DEVS Discrete Event System Specification formalism describes models developed for simulation; applications include simulation based testing of collaborative services Endomorphic Agents Agents that contain models of themselves and/or of other endomorphic Agents. Levels of Interoperability Levels at which systems can i...
In a great variety of application fields where decision making is based on a very large number of factors and/or vague or imprecise conditions it is necessary to introduce some new models and modeling techniques which go beyond the more traditional approaches offered by symbolic Artificial Intelligence. The key problem here is the combination of imprecision and uncertainty with high complexity ...
This paper overviews the microwave device modeling techniques based on machine learning. The proposed methods are divided into two categories, active and passive components modeling. These modeling techniques aim to characterize the microwave device efficiently and accurately. The active components consist of MESFET, HEMT, pHEMT, and so on. The passive devices include inductor, capacitor, Lange...
qualitative reasoning modeling and simulation with incomplete knowledge artificial intelligence. Book lovers, when you need a new book to read, find the book here. Never worry not to find what you need. Is the qualitative reasoning modeling and simulation with incomplete knowledge artificial intelligence your needed book now? That's true; you are really a good reader. This is a perfect book tha...
When there are many people who don't need to expect something more than the benefits to take, we will suggest you to have willing to reach all benefits. Be sure and surely do to take this modeling and using context 6th international and interdisciplinary conference context 2007 roskilde denmark august 20 24 2007 proceedings lecture notes in artificial intelligence that gives the best reasons to...
Rainfall-runoff models are used in the field of hydrology and runoff estimation for many years, but despite existing numerous models, the regular release of new models shows that there is still not a model that can provide sophisticated estimations with high accuracy and performance. In order to achieve the best results, modeling and identification of factors affecting the output of the model i...
The Piaget’s theory of intelligence is considered from the point of view of genesis and gradual development of human thinking operations. Attention is given to operational aspects of cognitive structures and knowledge. The significance of the Piaget’s theory of intelligence is revealed for modeling conceptual reasoning in the framework of artificial intelligence.
ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...
Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...
In this paper, we consider the problem of modeling application scenarios characterized by variability over time and involving heterogeneous kinds of knowledge. The evolution of distributed technologies creates new and challenging possibilities of integrating different kinds of problem solving methods, obtaining many benefits from the user point of view. In particular, we propose here a multilay...
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