This paper presents the result of research in developing a novel training model for Adaptive
Neuro-Fuzzy Inference Systems (ANFIS). ANFIS integrates the learning ability of Artificial …

Purpose–The purpose of this paper is to establish correlations among the input variables of
production within themselves and input variables of consumption within themselves and to …

Agricultural yield prediction procedures are often proposed to explore for techniques or
models that discover the practical relationship between influencing variables and …

Detumination of cohesion (C) and internal friction angle (;) of cultivated soils are crucial for
the solution of several agricultural engineering problems such as modeling of draft of tillage …

Many fields are increasingly applying Neuro-fuzzy techniques such as in model
identification and forecasting of linear and non-linear systems. This chapter presents a …

In this paper we apply an Adaptive Network-Based Fuzzy Inference System (ANFIS) with
one input, the dependent variable with one lag, for the forecasting of four macroeconomic …

Οι ναυτικές δραστηριότητες χαρακτηρίζονται από κινδύνους που μπορούν να απειλήσουν
την ασφαλή διεξαγωγή τους. Η διακινδύνευση που προκύπτει από αυτούς τους κινδύνους …

In this paper we present a Adaptive Neuro-Fuzzy System (ANFIS) with inputs the lagged
dependent variable for the prediction of Gross domestic Product growth rate in six countries …

In this paper we propose and examine an Adaptive Neuro-Fuzzy Inference System (ANFIS)
in Smoothing Transition Autoregressive (STAR) modeling. Because STAR models follow …