A Novel S-Regression Model on an Auto Price

Economic Analysis of Price Shocks of Production Inputs and Their Impact on Cotton Price in Iran: The Application of Panel Data Vector Auto-Regression (PVAR) Model

Cotton is a strategic crop with a critical role in the economy and agriculture. The increasing price of crop inputs is the main challenge for the developing countries, including Iran, so that it is crucial for the economy of the states to recognize the underpinning factors. Accordingly, the present study aimed to identify the relationship between price shocks of cotton production inputs and cot...

T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm

This paper proposes a novel approach for identification of Takagi–Sugeno (T–S) fuzzy model, which is based on a new fuzzy c-regression model (FCRM) clustering algorithm. The clustering prototype in fuzzy space partition is hyper-plane, so FCRM clustering technique is more suitable to be applied in premise parameters identification of T–S fuzzy model. A new FCRM clustering algorithm (NFCRMA) is ...

A (S,s) Model of Commodity Price Speculation

Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting

Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR), this paper presents a SVR model hybridized with the empirical mode decomposition (EMD) method and auto regression (AR) ...

A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in significant complications. In this paper, a novel feature extraction method based on a sparse auto-encoder (SAE) and softmax regression (SR) classifier was used to differentiate PVCs from other common Non-PVC rhythms, including normal sinus (N), left bu...