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RISAutomating the analysis of variance of orthogonal designs
Designing a production iine through optimisation of M/G/c* using simulation
سشیلسیلسی
Development of a novel wireless microrobot in-pipe with hybrid motion
Multiple comparisons of binomial proportions
Analysis of variance tests for exponentiality of two distributions: Complete and censored samples
Anomaly detection in nuclear power plant data using support vector data description
Application of statistical techniques and artificial neural network to estimate force from sEMG signals
to find the optimal parameters settings. Next, analysis of variance (ANOVA) technique is used to obtain significance level as well as contribution percentage of each parameter to optimize ANN’s modeling in human force estimation. The results indicated...
A HEURISTIC ALGORITHM FOR THE OPTIMAZATION OF POWDER-MIXED EDM PARAMETERS FOR TI-CO ALLOYS
and pulse on time) on the important process outputs, including metal removal rate and electrode wear rate, have been investigated. To model the machining process, different regression functions have been fitted to the experimental data. Then, using analysis...
Application of Taguchi Method and ANOVA Analysis for Simultaneous Optimization of Machining Parameters and Tool Geometry in Turning
Turning is one of the most important machining
processes used in various industrial applications. Usually the quality
of finished part in turning operation is measured in terms of surface
roughness. ...
Estimate Human-Force from sEMG signals for a Lower-Limb Rehabilitation Robot
This paper presents an application of artificial neural network (ANN) to estimate human forces from Electromyogram (sEMG) signals. There are plenty of algorithms that are used to obtain the optimal ANN setting. The accuracy ...