[PDF] Top 20 A Neuro-fuzzy approach for user behaviour classification and prediction
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A Neuro-fuzzy approach for user behaviour classification and prediction
... The system model considered for the research is an organization where there are several departments con- nected through a local area network (LAN). The em- ployees/users are allowed/disallowed to perform certain ... See full document
15
A Neuro Fuzzy Approach in the Prediction of Financial Stability and Distress Periods
... A Neuro-Fuzzy Approach in the Prediction of Financial Stability and Distress Periods Giovanis, eleftheios.[r] ... See full document
25
Neuro Fuzzy approach for the predictions of economic crisis
... Neuro-Fuzzy approach for the predictions of economic crisis Giovanis, Eleftherios.[r] ... See full document
65
A novel optimal medium resolution remote sensing image classification using Neuro fuzzy approach
... The fuzzy contrasts for an image are computed by calculating the deviation of the membership values from the crossover ...Two fuzzy contrasts are separately defined for both the underexposed and the ... See full document
5
Developing a Neuro Fuzzy Model for Weather Prediction
... pure fuzzy logic based forecasting. In this study, a Neuro-fuzzy approach will be proposed to predict weather in Sadat region, western desert, ...weather prediction such as classical ... See full document
12
Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy Inference System (ANFIS) Approach
... meet user expectations is a serious ...Adaptive Neuro Fuzzy Inference System (ANFIS) model, to predict the key ERP outcome “User Satisfaction” using causal factors present during an ... See full document
9
Dietary Fibers Effect from Mango Peels and Date Seeds on Rheological properties of Arabic Bread Quality: A Novel approach on applying Fuzzy Modeling in Studying Rolling/Folding and Tearing values
... and fuzzy inference system (FIS) is an effective technique for the identification and modeling of complex nonlinear ...systems. Fuzzy logic is particularly attractive due to its ability to solve problems in ... See full document
23
Prediction of Dumping a Product in Textile Industry
... data. Fuzzy ID3 algorithm is extended to apply to a fuzzy set of data (several data with membership grades) and generates a fuzzy decision tree using fuzzy sets defined by a user for ... See full document
5
Comparison between Neural Network and Adaptive Neuro Fuzzy Inference System for Forecasting Chaotic Traffic Volumes
... a fuzzy C-means clustering and a radial-ba- sis-function neural network [16], ...adaptive neuro-fuzzy inference system [19,20], where inputs and targets are identical to the first one, but mem- ... See full document
8
A Strategic Approach to Metrics for User Experience Designers
... One well-known approach to developing strategy and effective metrics is the Balanced Scorecard (BSC; Kaplan & Norton, 1996). Its use is widespread among large companies; a survey of 1,430 executives globally ... See full document
8
A SVM adaptive approach for Ventricular disea...
... Delta Waves: These are low frequency wave and available in lowest frequency range i.e. between 0.1 to 4 Hz. These waves define the unconscious mind and deep sleep of the patient or the person so that the sleep apnea ... See full document
5
Spike discharge prediction based on neuro-fuzzy system
... neural fuzzy inference system (HyFIS) and subtractive clustering and fuzzy c-means (SBC) algorithms and section 3 presents the performance of different neuro- fuzzy algorithms for analysis of ... See full document
14
Neuro-fuzzy classification of asthma and chronic obstructive pulmonary disease
... IOS classification test results, which in the very beginning enables more accurate ...the classification of diseases, in addition to the results obtained by using spirometry and IOS, symptoms according to ... See full document
9
CLASSIFICATION OF PADDY WEED LEAF USING NEURO-FUZZY METHODS
... Back Propagation Neural Network (BPNN) is one of the Artificial Neural Network (ANN) algorithms used for classification. According to Husin et al. (2012), BPNN is the easiest algorithm to understand and has the ... See full document
13
Calculating the Soil Strength for standing Support in Underground Mine Using Artificial Intelligence Approach
... As we know that the mining is an important process to extract the ore from the core of earth. Without mining we cannot able to get the valuable product for our benefit as well as growth of our nation. Now a day we are ... See full document
5
Prediction blood pressure parameter by using neuro-fuzzy model
... The third chapter describes the methodology for explanation of the project. Present every step in each stage to run this project. How to use Statistical Package for the Social Sciences (SPSS) and how to use Adaptive ... See full document
21
Adoptive Neuro Fuzzy Inference System for Traffic Noise Prediction
... level prediction but limited uses of these models have been so far reported ...noise prediction models are developed for uninterrupted and homogeneous traffic flow; results underestimate or overestimate the ... See full document
6
Cancer Gene Detection Using Neuro Fuzzy Classification Algorithm
... Unfortunately, Neuro-Fuzzy method methods have suffered some well-known limitations in dealing with high dimensional ...some fuzzy- rule-based applications for microarray analysis have already been ... See full document
10
Fixed Neuro Fuzzy Classification Technique For Intrusion Detection Systems
... In this section the various hybrid approaches in the literature are given in detail. As day by day the threats increase the usage of single technique to counter the intruders is not suffice. So the researchers found an ... See full document
6
Neuro fuzzy classification and detection technique for bioinformatics problems
... In this paper, instead of using trial and error technique to determine its centers or cluster analysis, it is done via WEKA software. Since FCM in general guarantees the optimality of the resulting classifier in respect ... See full document
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