This paper presents the application of neuro-fuzzy approach for modelling tool life, torque and thrust force in drilling operation for set of given process parameters, namely cutting speed, feed rate and drill diameter. The proposed approach uses a hybrid-learning algorithm i.e., combination of the back-propagation gradient descent method and least squares method, to identify premise and conseq...

Ultraprecision turning is a manufacturing process used to generate a high surface roughness in precision components, and its input-output relationships are highly nonlinear. Surface roughness of a turned surface depends on the selection of cutting variables, such as cutting speed, feed and depth of cut. Realizing the fact that fuzzy logic controller (FLC) is a powerful tool for dealing with imp...

. Abstract The brushless DC motor (BIBCM) is receiving wide attention for industrial applications because of their high torque density, high efficiency and small size. Conventional eontrollers suffer h m uncertain parameters and the non-linear of the BLDCM. The fuzzy control has been focus in the field of the control of the BLDCM. However, a systematic method for designing and tuning the fuzzy ...

Accurate and computationally efficient means of electrocardiography (ECG) arrhythmia detection has been the subject of considerable research efforts in recent years. Intelligent computing tools such as artificial neural network (ANN) and fuzzy logic approaches are demonstrated to be competent when applied individually to a variety of problems. Recently, there has been a growing interest in comb...

This paper deals with the design of a fuzzy controller (FC) based on pole assignment method for the control of a liquid level system. The problem is to control level set point changes by adjusting the flowrate of liquid entering the tank through a feed pump [2], [5]. The behaviour of the closed loop fuzzy system controlled by the fuzzy controller is identical to the linear system whose state tr...

This paper describes a neuro-control fuzzy critic design procedure based on reinforcement learning. An important component of the proposed intelligent control configuration is the fuzzy credit assignment unit which acts as a critic, and through fuzzy implications provides adjustment mechanisms to the main controller. The main controller is the neuro-control unit consisting of a full interconnec...

Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Groundwater is a highly valuable resource. Measurement and analysis of groundwater level is needed for maintaining groundwater availability. It is therefore necessary to implement mechanisms and systems that can be employed to predict the ground...

This paper proposes a new method for the extraction of knowledge from a trained type feed-forward neural network. The new knowledge extracted is expressed by fuzzy rules directly from a sensibility analysis between the inputs and outputs of the relationship that model the neural network. This easy method of extraction is based on the similarity of a fuzzy set with the derivative of the tangent ...

the main objective of this study is the modelling and optimization of an industrial hydrocracker unit (hu) by means of adaptive neuro fuzzy inference system (anfis) model. in this case, some data were collected from an industrial hydrocracker plant. inputs of an anfis include flow rate of fresh feed and recycle hydrogen, temperature of reactors, mole percentage of h2 and h2s, feed flow rate and...

background and aims: depression disorder is one of the most common diseases, but the diagnosis is widely complicated and controversial because of interventions, overlapping and confusing nature of the disease. so, keeping previous patients’ profile seems effective for diagnosis and treatment of present patients. use of this memory is latent in synthetic neuro-fuzzy algorithm. present article in...