This paper describes the modelling and control of a pH neutralization process using a Local Linear Model Tree (LOLIMOT) and an adaptive neuro–fuzzy inference system (ANFIS). The Direct and Inverse model building using LOLIMOT and ANFIS structures is described and compared. The direct and inverse models of the pH system are identified based on experimental data for the LOLIMOT and ANFIS structur...

This study proposed a model-based robust fault detection (RFD) method using soft computing techniques. Robust detection of the possible realistic incipient faults of an industrial gas turbine engine in steady-state conditions is mainly centered. For residual generation a bank of Multi-Layer perceptron (MLP) models, is used, Moreover, in fault detection phase, a passive approach based on Modelli...

The Urumieh-Dokhtar Magmatic Arc (UDMA) is recognized as an important porphyry, disseminated, vein-type and polymetallic mineralization arc. The aim of this study is to identify and subsequently determine geochemical anomalies for exploration of Pb, Zn and Cu mineralization in Mial district situated in UDMA. Factor analysis, Concentration-Number (C-N) fractal model and Local Linear Model Tree (...

This paper investigates the local linear model tree (LOLIMOT), a typical neural fuzzy model, in multiple-input-multiple-output predictive control (MPC). In conventional LOLIMOT, structural parameters including centres and variances of its Gaussian kernels are set based on equally dividing input data space. this paper, after initially obtained from space partition, they optimized by gradient des...

This paper compares a genetic programming approach with a greedy partition algorithm (LOLIMOT) for structure identi cation of local linear neuro-fuzzy models. The crisp linear conclusion part of a Takagi-Sugeno-Kang (TSK) fuzzy rule describes the underlying model in the local region speci ed in the premise. The objective of structure identi cation is to identify an optimal partition of the inpu...

ecological changes resulting from climate conditions can severely affect human societies especially in the area of economy and safety. climate catastrophes may cause social and economic tension. forecasting such changes accurately can help the government to control the disasters and to achieve possible benefits (such as water supply in flood). weather forecasting is the application of science a...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract State of charge (SOC) estimation is one of the essential segments of hybrid electrical vehicles (HEV). By monitoring of SOC, we can optimize the consumption of fuel and decrease the pollution of air, in HEV. In this works considers the state of cha...

for winning in global competition, companies need to recognition and monitoring of customer's behavior to forecast their behavior and desires earlier than competitors. this research tries to recognize the attributes which lead to customer churn. for this, behavior of 3150 subscribers of an iranian mobile operator, has observed during one year and trends of them has analyzed by a customized...

The walking beam furnace (WBF) plays a critical role in a steel production factory, and has complex nonlinear dynamic behaviour. Thus, using the conventional physical principles to build a model of the process leads to a time-consuming modeling procedure and when the number of operating set-points in walking beam furnace increases the conventional modeling problem difficultly will be solved, in...