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ANFIS Modeling Based on Full Factorial Design
2006 IEEE International Conference on Industrial Technology, 2006Adaptive network based fuzzy inference system (ANFIS) is an intelligent neuro-fuzzy technique used for modeling and control of ill-defined and uncertain systems. ANFIS is based on the input-output data pairs of the system under consideration. The size of the input-output data set is very crucial when the data available is very less and the generation ...
Mrinal Buragohain, Chitralekha Mahanta
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Full Factorial Designs and Distracted Fractions
1998Design of Experiments is a branch of Statistics, which has a long tradition in the use of algebraic methods. In general all this methods where developed in the case of binary experiments, with level coding either 0, 1 and -1, 1 and refer to computations in Z_2 The classical theory fully exploits the characteristics of the binary case, in particular the
ROBBIANO, LORENZO, ROGANTIN, MARIA PIERA
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Full Factorial Design Based ANFIS Model for Complex Systems
2006 Annual IEEE India Conference, 2006In this paper we propose an Adaptive Network based Fuzzy Inference system (ANFIS) model where the number of data pairs employed for training is minimized by application of an engineering statistical technique called full factorial design. Our proposed method is experimentally validated by applying it to the benchmark Box and Jenkins gas furnace data ...
M. Buragohain, C. Mahanta
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Randomised controlled trials with full factorial designs
BMJ, 2012Researchers explored the effectiveness of three interventions in preventing falls among older people. The three interventions were group based exercise, home hazard management, and vision improvement. A randomised controlled trial with a full factorial design was used. The control treatment was no intervention.
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Full Factorial Design: Optimization for Nanogel Formation
Journal of Research in Nanoscience and NanotechnologyThe Design of Experiments, DoE, is a set of applied statistics tools for systematically classifying and quantifying cause and effect relationships between variables and outputs in the studied process, which may lead to the discovery of the settings and conditions under which the process becomes optimized.
Nur Fathin Amirah Shafie +4 more
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Recycling Of Chromite Waste for Concrete: Full Factorial Design Approach
2012WOS ...
Mesci, B., Elevli, S.
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Full factorial design for optimization of magnesium alkalinization additive
Transportation Geotechnics, 2019Abstract Intensive research using chemical stabilization for improving subgrade soil has become increasingly popular around the globe. The alkaline activator additive provides an improved and effective alternative for cement, and also produces comparatively less CO2 emissions. This paper studied the factors that contribute to the strength development
Nurmunira Muhammad, Sumi Siddiqua
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HOMOGENIZATION METHODS FOR MULTISCALE PROCESS MODELING THROUGH FULL FACTORIAL DESIGN
American Society for Composites 2023, 2023Crucial to developing the next generation of high-performance composites are multiscale process models which have the capacity to predict in-service performance affecting residual stresses and deformations generated during manufacturing. Length scale and geometrical complexity of composites increase in tandem; thus, process models must rely upon ...
MICHAEL N. OLAYA, MARIANNA MAIARĂ™
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A Full-Factorial Design Approach for Coordinate Transformation
Arabian Journal for Science and Engineering, 2013The aim of this study is to analyze the role of experimental factors in the affine coordinate transformation of cadastral maps using a 23 factorial design. The selected experimental factors and their respective levels include a map scale of 1/500–1/1,000, a number of common points 4 and 20, and the least square and least absolute value adjustment ...
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More Full Factorial Design Examples
2009This chapter contains the analysis of three interesting experiments reported in the literature.
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