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59 results for “Fuzzy Neural Network”
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Research ArticleOpen accessPhrase in the titleCONTENT BASED BATIK IMAGE CLASSIFICATION USING WAVELET TRANSFORM AND FUZZY NEURAL NETWORKAbdul Haris RangkutiIn this paper we introduce the content-based image classification using wavelet transform with Daubechies type 2 level 2 to process the characteristic texture consisting of standard deviation, mean and energy as Input variables, using the method of Fuzzy Neural Network (FNN). All the input value will be processed using fuzzyfication with 5 categories namely Very Low (VL), Low (L), Medium … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 6,683 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEvolving Fuzzy Neural Network for Phishing Emails DetectionAmmar ALmomani, Tat-Chee Wan, Altyeb Altaher et al.One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been trained on old dataset, not included in black list. Accordingly, the current paper seeks to Detection and Prediction of unknown “zero-day” phishing Emails by provide a new … …Journal of Computer Science, Vol. 8, Issue 7 · 4 Jun 2012 · 8,005 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Hybrid Fuzzy Neural Networks for the Detection of Tumors in Medical ImagesN. Benamrane, A. Freville, R. NekkacheIn this study, we propose an approach to detect suspect zones or tumors in medical images. The idea is to define with precision the existence of different kinds of lesions using a hybrid system, which combines Fuzzy Neural Networks and Expert System. After applying a method of image segmentation to extract regions (by region growing algorithm or by mathematical morphology … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,873 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImprovement of Rooftop Solar Panels Efficiency using Maximum Power Point Tracking Based on an Adaptive Neural Network Fuzzy Inference SystemI Made Ari Nrartha, I Made Ginarsa, Agung Budi Muljono et al.Rooftop solar panels are a strategy for achieving Indonesia's renewable energy goals, but their non-linear characteristics make them difficult to control, especially in the face of extreme weather changes. An effective controller is needed to optimize the power output of solar panels. This study proposes a Maximum Power Point Tracking (MPPT) controller based on an Adaptive Neural network Fuzzy Inference … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 1 · 19 Jan 2023 · 5,769 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid of Fuzzy Clustering Neural Network Over NSL Dataset for Intrusion Detection SystemDahlia Asyiqin Ahmad Zainaddin, Zurina Mohd HanapiIntrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines ongoing traffic, activity, transactions and behavior in order to identify intrusions by detecting anomalies. These technique identifies … …Journal of Computer Science, Vol. 9, Issue 3 · 4 May 2013 · 6,574 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance of Multiple Linear Regression and Nonlinear Neural Networks and Fuzzy Logic Techniques in Modelling House PricesSiti Amri, Gurudeo Anand TularamHouse price prediction continues to be important for government agencies insurance companies and real estate industry. This study investigates the performance of house sales price models based on linear and non-linear approaches to study the effects of selected variables. Linear stepwise Multiple Regression (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 18 Dec 2012 · 8,430 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContent Based Image Retrieval using Novel Gaussian Fuzzy Feed Forward-Neural NetworkC. Ramesh Babu Durai, V. DuraisamyProblem statement: With extensive digitization of images, diagrams and paintings, traditional keyword based search has been found to be inefficient for retrieval of the required data. Content-Based Image Retrieval (CBIR) system responds to image queries as input and relies on image content, using techniques from computer vision and image processing to interpret and understand it, while using techniques from information … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,326 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA NOVEL APPROACH BASED ON GENETIC FUZZY CLUSTERING AND ADAPTIVE NEURAL NETWORKS FOR SALES FORECASTINGAttariuas Hichama, Bouhorma Mohameda, El Fallahi AbdellahbThis article proposes a new hybrid sales forecasting system based on genetic fuzzy clustering and Back-Propagation (BP) Neural Networks with adaptive learning rate (GFCBPN).The proposed architecture consists of three stages: (1) utilizing Winter’s Exponential Smoothing method and Fuzzy C-Means clustering, all normalized data records will be categorized into k clusters; (2) using an adapted Genetic Fuzzy System (MCGFS), the fuzzy … …Journal of Computer Science, Vol. 9, Issue 8 · 2 Jul 2013 · 6,669 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVehicle Identification using Fuzzy Adaline Neural NetworkGokul Murugesan, Shriram K. Vasudevan, Sivaraman Ramachandran et al.Video surveillance is an important aspect in today’s world, where a particular scene of area requires monitoring to avoid terrorist attacks and unauthorized entries. Vehicle recognition is an important area in object tracking and recognition. Objects may be of rigid or non-rigid in nature with varying velocity and have different features. Important features like shape, logo, color and texture are … …Journal of Computer Science, Vol. 9, Issue 6 · 6 Jun 2013 · 7,176 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpeed Estimation of Adaptive Fuzzy-Controlled Piezo-Electric Motor using MLP-Neural NetworkShebel ALSABBAH, Tariq MUGHRABIThe speed of ultrasonic motor of piezo-electric type is usually measured using mechanical sensors such as pulse encoders. However, these sensors are costly and bulky. In this paper, a numerical speed estimation approach of a piezo-electric motor (PEM) is implemented using multilayer perception neural network (MLP-NN). The proposed model evaluates rotational speed and load torque based on the amplitude and … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,785 accessesView PDFCite