Automatic labeling of the action held by the players in a live-in sports video is the main motivation of this paper. In this paper, we proposed a fuzzy-based action recognition system from a basketball sports image. This paper deals with the intellectual sports event action recognition from a live video stream. It required an intelligent system which would automatically and semantically label t...

The need of an expert to build the knowledge base of fuzzy decision support systems, herein called the fuzzy knowledge base (FKB), is a strong limitation to the expansion of their use in the industry. This paper presents a genetic algorithm that automatically constructs the FKB and discusses the influences of the optimization and selection criteria on its performances. These criteria allow sati...

With respect to the fact that the prediction of Protein secondary structure based on amino acids is very important, therefore, this study tries to present a new method based on the fuzzy combinational structure of a set of feed-forward neural networks so that the prediction accuracy of Protein secondary structure can be improved compared with the existing methods. Neural networks used in this p...

An adaptive neuro-fuzzy inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet works. The ANFIS model was employed to calculate vent air discharge in different gate openings for an embankment dam. A hybrid learning algorithm obtained from combining back-propagation and least square estimate was adopted to identify linear and...

This study presents a new method for modeling an adaptive neuro-fuzzy inference system (ANFIS) based on vibration for predicting surface roughness in the CNC turning process. The input parameters of the model are insert nose radius, cutting speed, feed rate, depth of cut and vibration amplitude, which determine the output parameter of the surface roughness. A Gauss type membership function was ...

This paper presented a new and robust algorithm for face detection and recognition using skin colour model with Feed Forward neural Network. Skin colour model is used to detect face of region from given input testing image. After detection, Features are extracted from detected face regions using Zernike moment and correlation. Also Extract features from training database. Next step is applied t...

Glass fiber reinforced plastics are finding its increased applications in various engineering fields such as aerospace, automobile, electronics and other industries. This paper discusses the use of fuzzy logic for modeling turning parameters in turning of glass fiber reinforced plastics by carbide tool (K-20). Experiments were conducted based on the established Taguchi‟s Design of Experiments (...

Because of their potential energy savings, dividing-wall columns (DWCs) have been viewed as an interesting alternative to the use of sequences based on conventional distillation columns. The energy savings, however, must be supported by suitable controllability properties for a proper operation. In this study we use a design methodology to optimize the gains of the Takagi−Sugeno fuzzy controlle...

The aim of this study is to develop a novel decision support system, which has never been developed yet, in order optimize machining parameters. We combine the three distinct methods: experimental design and analysis, fuzzy data envelopment analysis (DEA) analytical hierarchy process (AHP). Firstly, full factorial experiment including four factors levels carried out. take into account cutting s...

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...