In this paper river stage discharge models using Adaptive NeuroFuzzy Inference System (ANFIS) and Linear Multiple Regression (MLR) methods have been developed. This paper also investigates the best model to forecast river discharge. From the literature it is clear that ANN models and Fuzzy logic models are quite applicable on river stage discharge modelling. Hence this present study carried out...

In this paper, the Real Time Evolution algorithm (Sequeira et al., 2002) is applied to the on-line optimization of a debutanizer distillation column. A fault diagnosis system (FDS) implemented within a supervisory module is responsible for handling incidences (faults and disturbances) happening in the plant by taking the appropriate corrective actions, including the activation of the RTE system...

nowadays, wireless sensor network has been of interest to investigators and the greatest challenge in this part is the limited energy of sensors. sensors usually are in the harsh environments and transit in these environments is hard and impossible and moreover the nodes use non- replaceable batteries. because of this, saving energy is very important. in this paper we tried to decrease hard and...

28 Facing fierce competition in marketplaces, companies try to determine the optimal settings of design 29 attribute of new products from which the best customer satisfaction can be obtained. To determine 30 the settings, customer satisfaction models relating affective responses of customers to design attributes 31 have to be first developed. Adaptive neuro-fuzzy inference systems (ANFIS) was a...

Compressive strength of concrete is an important parameter in design. Accurate prediction compressive can lower costs and save time. Therefore, thecompressive performance artificial intelligence methods (adaptive neuro fuzzy inference system, random forest, linear regression, classification regression tree, support vector k-nearest neighbour extreme learning machine) are compared this study usi...

This paper presents the design of the hybrid PID-ANFIS controller for controlling the speed of the Brushless Direct Current Motor (BLDCM). The objective of this work is to obtain the BLDCM speed controller equipment effectively. The hybrid PID-ANFIS controller is a combination of classical PID controller and ANFIS controller. This method is applied to BLDCM speed controller by simulation and im...

Cement is among the major contributors to global carbon dioxide emissions. Thus, sustainable alternatives conventional cement are essential for producing greener concrete structures. Rice husk ash has shown promising characteristics be a option further research and investigation. Since experimental work required assessing its properties both time consuming complex, machine learning can used suc...

The use of Unmanned Aerial Vehicles (UAVs) has increased significantly in recent years. On-board integrated navigation sensors are a key component of UAVs' flight control systems and are essential for flight safety. In order to ensure flight safety, timely and effective navigation sensor fault detection capability is required. In this paper, a novel data-driven Adaptive Neuron Fuzzy Inference S...

This paper presents a new methodology for designing a detection, isolation, and identification scheme for sensor faults in linear timevarying systems. Practically important is that the proposed methodology is constructed on the basis of historical data and does not require a priori information to isolate and identify sensor faults. This is achieved by identifying a state space model and designi...