Theoretical Study on Design Method Combining the Taguchi Method and Neural Networks for Machine Systems

Using the hybrid Taguchi experimental design method – TOPSIS to identify the most suitable artificial neural networks used in energy forecasting

The use of artificial neural networks (ANN) in forecasting has many applications. Appropriate design of ANN parameters enhances the performance and accuracy of neural network models.  Most studies use a trial and error approach in setting the value of ANN parameters. Other methods used to determine the best structure of a neural network only use a single evaluation criterion to determine the ap...

Robust Design and Taguchi Method Application

A new Meta Machine Learning (MML) method based on combining non-significant different neural networks

Model combination provides an alternative to model selection. With a little additional effort we can obtain MML models that improve the generalization capabilities of their individual members. However, it has been recognized that the individual members must be as accurate and diverse as possible. In this paper we present a novel method for building MML models by combining neural networks which ...

on the practicality and effectiveness of a personalized eclectic method incorporated into iranian high school efl syllabus

همگام با سرعت در حال رشد خلاقیت و نوآوری های آموزش زبان به ویژه ظهور روش ارتباطی آموزش زبان? بسیاری از مدارس زبان با بازاندیشی آموزش و پرورش خود? برای گنجاندن فعالیت های ارتباطی، وزمینه ی شخصی سازی شده به شیوه های سنتی خود به روز رسانی شده اند. با این حال، مدارس ایرانی در این زمینه آهسته پیش رفته اند. از این رو، هدف عمده ی پژوهش حاضر برداشتن یک گام در پر کردن شکاف بین نظریه های آموزشی نو ظهور و...

Neural-Smith Predictor Method for Improvement of Networked Control Systems

Networked control systems (NCSs) are distributed control systems in which the nodes, including controllers, sensors, actuators, and plants are connected by a digital communication network such as the Internet. One of the most critical challenges in networked control systems is the stochastic time delay of arriving data packets in the communication network among the nodes. Using the Smith predic...