Articial Intelligence
The time scale of articial intelligence: Reections on social eects
... advancement of computer science, are at most several thousand. After we have reached Milestone E, it shouldn't take much more than ten years to construct ten thousand duplicates of our original \Milestone E" machine, ...
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Application of trend analysis and artificial neural networks methods: The case of Sakarya River
... Various articial intelligence techniques are used in order to make prospective estimations with available ...these articial intelligence techniques is Articial Neural Networks ...
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Time series prediction with a hybrid system formed by artificial neural network and cognitive development optimization algorithm
... of articial intelligence eld, popularity of some general techniques has rapidly increased because they are capable of solving most of problems ...accurately. Articial Neural Network (ANN) is one of ...
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Architecture and training algorithm of feed forward articial neural network to predict material removal rate of electrical discharge machining process
... and Articial Intelligence (AI) based ...Forward Articial Neural Network (FFANN) application used to model the EDM process of copper electrode and steel workpiece mate- ...
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Predicting Density and Compressive Strength of Concrete Cement Paste Containing Silica Fume Using Articial Neural Networks
... Abstract. Articial Neural Networks (ANNs) have recently been introduced as an ecient articial intelligence modeling technique for applications involving a large number of variables, especially with ...
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INTELLIGENT PHEROMONE UP GRADATION MECHANISM THROUGH NEURAL AUGMENTED ANT COLONY OPTIMIZATION (NaACO) META HEURISTIC IN MACHINE SCHEDULING
... Various Articial Intelligence (AI) techniques have also been used to investigate and improve the pheromone trail in worker assignment issues at the workshop oor ...of Articial Neural Networks (ANN) ...
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A prototype-based classification using extended imperialist competitive algorithm
... computational intelligence, Type-1 and Type-2 fuzzy sets and systems, articial intelligence and expert systems, multi-agent systems, networks, big data modeling, data mining, fuzzy rough sets, ...
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Displacement Based Intelligent Seismic Assessment of Existing Steel Buildings
... mechanisms. Articial intelligence can be used as a very eective tool for assessing the total response of the structure and can be used eectively for a preliminary design with minimum computing time and ...
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BLAST FURNACE-8 WITH FLYWHEEL AND VAM FOR EFFECTIVE WASTE HEAT RECOVERY
... [9] Comparative performance evaluation of blast furnace ame temperature prediction using articial intelligence and statistical methods, Yasin TUNC_KAYA1 ;_ , Etem K • OKL • [r] ...
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Coalbed Methane Reservoir Simulation and Uncertainty Analysis with Articial Neural Networks
... of Articial Intelligence & Data Mining (AI&DM) in the E&P industry, he has 18 years of experience and more than 100 tech- nical publications in this ...
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COMPARATIVE STUDY OF THE EFFECT OF TWO TYPE OF RIBS ON THERMAL PERFORMANCE OF SOLAR AIR HEATERS
... The cross section of the roughness has an eect on the separation region and, thus, the turbulence level reached by the uid ow. The friction factor for circular section ribs is lower than that for rectangular or square ...
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Competitive Intelligence And Employee Productivity Of Selected Insurance Companies In Nigeria
... strategic intelligence of managers on the performance of employees (case study: private banks in city of ...strategic intelligence and all its dimensions – i.e. competitive intelligence, business ...
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Inviscid Compressible Flow Computations on 3D Unstructured Grids
... This paper presents an unstructured grid FEM algorithm for solving 3D inviscid compressible ows. The algorithm is based on an edge-based form of the so-called standard Galerkin formulation. In order to achieve practical ...
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Ranking L-R Fuzzy Numbers with Weighted Averaging Based on Levels
... utilized articial neural networks for the automatic ranking of fuzzy numbers in 1994, Fortemps and Roubens [13] presented ranking and defuzzication methods based on area compensation in 1996, and Raj and Kumar ...
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User Authentication Incorporating Feature Level Data Fusion of Multiple Biometric Characteristics
... The research demonstrated that uni-modal biometric authentication sys- tems provide an accurate alternative to traditional password-based au- thentication methods. Additionally, the keystroke dynamics investiga- tion ...
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Spearman correlations between learning styles from rational level and Gardner intelligence types
... From the perspective of use and addressability of learning styles, the models developed by D. Kolb and Honey-Mumford are thought to be models that address and evaluate the capacity for rationalization, analysis, ...
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Iranian EFL Student-Teachers’ Multiple Intelligences and Their Self-Efficacy: Patterns and Relationships
... to intelligence discussed above, is how one feels about oneself in a certain situation and about her/his capacities to reach to the outcomes which is known as ...
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Soft Computing-based Approach on Capacity Prediction of FRP Strengthened RC Joints
... the articial neural network architecture was used to develop a model for predicting the FRP shear strength contribution, and the developed model was then used to derive a formula for estimating the shear force ...
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Bottleneck Analysis as a Heuristic for Self-Adaption in Multi-Agent Societies
... In this paper, we have presented an approach to incorporate bottleneck analysis to a mechanism that enables self-adaption of a society of articial agents without giving up the paradigm of agent autonomy. In ...
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Neurocomputing in Civil Infrastructure
... tational intelligence computing paradigms: neural net- works, fuzzy logic, and evolutionary computing; they can solve complicated pattern recognition problems more eectively than either one of them ...
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