[PDF] Top 20 Neuro fuzzy classification and detection technique for bioinformatics problems

... Fuzzy C means clustering algorithms require a large number of computations of distance or similarity measures among data records and cluster centers, which can be very time consuming for very large data bases. ... See full document

... for classification of anomalous activities and an accuracy of 98% was achieved (Yasami&Mozaffari ...high classification rate especially with U2R and R2L attacks (Tang & Cao ...anomaly ... See full document

... the information field and forwards to the next CH according to probability value which depends on the pheromone value and is calculated as the addition of all QoS metrics collected by ants. These metrics are energy, ... See full document

... networks, fuzzy logic, neuro fuzzy has shown great potential in this ...matching, classification and detection of algorithms which have direct applications in many medical ... See full document

... main problems with the aforementioned evolving techniques for diagnostic classification are related to the blind classification of the output space, which could generate confusing diagnostic ...these ... See full document

... engineering problems [15-18], and used as models to generate residuals for fault detection ...model. Fuzzy reasoning allows symbolic generalization of numerical data by fuzzy rules and ... See full document

... and fuzzy logic are two totally inspired concepts of human ...tasks. Fuzzy logic provides knowledge with a certain degree of uncertainty (or ...of problems as close as that of the human ... See full document

... the problems happened in large database clustering, including initialization by clustering a model of the data and by means of an initial crude partitioning of the complete data set ...Each technique has ... See full document

... 4.2 Advantages for Sensorless Algorithm Rotor position sensors add hardware complexity, connectivity problems and reliability issues that make the drive system prone to failure. The removal of the SRM position ... See full document

... In general the Bayes classifier and the KNN[3] classifier could not handle the massive data as good as the Neuro-Fuzzy classification systems. This helps our earlier analysis using artificial neural ... See full document

... Various branches of engineering use models effectively to reduce complexity, document analysis steps and facilitate communication within the development team. And this applies to software engineering and web engineering. ... See full document

... for classification hosts in suitable group based on their availability score, will define five levels of availability (Very low, Low, Medium, Large and Very ... See full document

... The main objective of this paper is to propose security policies and mechanisms for mobile phones that better meet the expectations of users, either at the level of mobile networks, or mobile applications.At the mobile ... See full document

... hybrid technique for the classification of MRI human brain ...hybrid technique consists of three stages namely feature extraction, feature reduction and ...the classification is done by a ... See full document

... image classification are being computationally heavy and also do not guarantee high ...hand fuzzy logic technique is more accurate but it fully depends on expert knowledge, which may not always ... See full document

... A large variety of nonlinear control sechemes [13] have been proposed for solving the attitude tracking control problem. These control schemes include adaptive attitude control [4,5] sliding mode control [6,7], output ... See full document

... computer classification of remote sensing are based on the statistical analysis of pixel brightness, however, due to the remote sensing data general cs of integrated spectral, cause computer classification ... See full document

... A wireless sensor monitoring and control system through internet has been successfully designed and developed. The basic operation of the system is to monitor the physical environmental conditions such as temperature and ... See full document

... Figure 4 shows the Average Precision for Proposed method,Standard moments, Dominant Color , Dominant Color and GLCM texture Methods, the result shows the proposed method has high Average[r] ... See full document

... To avoid the risk of super peer node failure in the network communication model, this paper proposes the gossip communication based established protocol and firefly algorithm to select t[r] ... See full document