Artificial Neural Network approach on Type II Regression Analysis

نویسندگان

چکیده

In this study, the Artificial Neural Network (ANN) approach was applied to OLS-Bisector technique, which is one of Type II Regression techniques, through study. order measure performance newly created ANN-Bisector it compared with technique. First all, literature information on ANN and techniques given, features two are mentioned. line information, a comparison made between OLS based bisector technique techniques. compare these they were modeled in different distributions sample sizes. performances models, "Mean Absolute Percent Error" (MAPE) criterion used. As result seen that gave better results lower error than With foreseen will represent an example for researchers who want work fields future.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An integrated data envelopment analysis–artificial neural network approach for benchmarking of bank branches

Efficiency and quality of services are crucial to today’s banking industries. The competition in this section has become increasingly intense, as a result of fast improvements in Technology. Therefore, performance analysis of the banking sectors attracts more attention these days. Even though data envelopment analysis (DEA) is a pioneer approach in the literature as of an efficiency measurement...

متن کامل

Nonlinear Survival Regression Using Artificial Neural Network

Survival analysismethods deal with a type of data, which is waiting time till occurrence of an event. One commonmethod to analyze this sort of data is Cox regression. Sometimes, the underlying assumptions of the model are not true, such as nonproportionality for the Cox model. In model building, choosing an appropriate model depends on complexity and the characteristics of the data that effect ...

متن کامل

An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes

In this paper, a new approach of modeling for Artificial Neural Networks (ANNs) models based on the concepts of fuzzy regression is proposed. For this purpose, we reformulated ANN model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ANN models. Hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility for forecas...

متن کامل

Evaluation of artificial neural network and multiple regression model for Cd ( II ) sorption on activated carbons

Introduction Industrial effluents of metallurgical alloying, ceramics, electroplating, photography, pigment works, textile, printing, chemical industries, Cd/Ni batteries and lead mine drainage containing toxic metal such as cadmium (Wesley Eckenfelder Jr, 2000; Cheremisinoff, 1995). Higher concentration of cadmium causes gastrointestinal discomforts, kidney damage, nausea, vomiting, and diarrh...

متن کامل

Comparison of Artificial Neural Network and Multiple Regression Analysis for Prediction of Fat Tail Weight of Sheep

A comparative study of artificial neural network (ANN) and multiple regression is made to predict the fat tail weight of Balouchi sheep from birth, weaning and finishing weights. A multilayer feed forward network with back propagation of error learning mechanism was used to predict the sheep body weight. The data (69 records) were randomly divided into two subsets. The first subset is the train...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The journal of operations research, statistics, econometrics and management information systems

سال: 2021

ISSN: ['2148-2225']

DOI: https://doi.org/10.17093/alphanumeric.972138