Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)

Herausgegeben:Ravi, V.; Panigrahi, Bijaya Ketan; Das, Swagatam; Suganthan, Ponnuthurai Nagaratnam

• Broschiertes Buch

Produktbeschreibung

This proceedings bring together contributions from researchersfrom academia and industry to report the latest cutting edge research made inthe areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computingin the paradigm of Soft Computing. The FANCCO 2015 conference explored newapplication areas, design novel hybrid algorithms for solving different realworld application problems. After a rigorous review of the 68 submissions fromall over the world, the referees panel selected 27 papers to be presented at theConference. The acceptedpapers have a good, balanced mix of theory and applications. The techniquesranged from fuzzy neural networks, decision trees, spiking neural networks,self organizing feature map, support vector regression, adaptive neuro fuzzyinference system, extreme learning machine, fuzzy multi criteria decisionmaking, machine learning, web usage mining, Takagi-Sugeno Inference system,extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclusteringetc. The applications ranged from social network analysis, twitter sentimentanalysis, cross domain sentiment analysis, information security, educationsector, e-learning, information management, climate studies, rainfallprediction, brain studies, bioinformatics, structural engineering, sewage waterquality, movement of aerial vehicles, etc.

Produktdetails

• Advances in Intelligent Systems and Computing 415
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-27211-5
• 1st ed. 2015
• Seitenzahl: 366
• Englisch
• Abmessung: 235mm x 175mm x 22mm
• Gewicht: 581g
• ISBN-13: 9783319272115
• ISBN-10: 331927211X
• Artikelnr.: 43964609

Inhaltsangabe

Tweet SentimentClassification Using an Ensemble of Machine Learning Supervised ClassifiersEmploying Statistical Feature Selection Methods.- Multiple Fuzzy CorrelatedPattern Tree Mining using Minimum Item All-Confidence Thresholds.- Autonomous Visual Trackingwith Extended Kalman Filter Estimator for Micro Aerial Vehicles.- Identification of UncertainMass and Stiffness Matrices of Multi-Storey Shear Buildings using Fuzzy NeuralNetwork Modelling.- FuzzyApproach to Rank GlobalClimate Models.- Comparative analysis ofANFIS and SVR Model performance for Rainfall Prediction.- Cross Domain SentimentAnalysis using different Machine Learning Techniques.- Combining ELM with RandomProjections for Low and High Dimensional Data Classification and Clustering.- Framework for knowledge drivenoptimisation based data encoding for brain data modelling using spiking neuralnetwork architecture.- ShortCircuitEvaluations in Gödel Type Logic.- Coefficient of Variationbased Decision Tree for Fuzzy Classification.- Predicting proteincoding regions by six-base nucleotide distribution.- Ontology for EducationSystem and Ontology based Clustering.- Neural Networks for FastEstimation of Social Network Centrality Measures.- Scale-free memory toswiftly generate fuzzy future predictions.- Assessment ofVaccination Strategies using Fuzzy Multi-Criteria Decision Making.- Ranking and DimensionalityReduction using Biclustering.- Effect of Fractional Order inPole Motion.- Sewage Water QualityIndex of Sewage Treatment Plant using Fuzzy MCDM Approach.- Fuzzy Formal ConceptAnalysis approach for Information Retrieval.- Privacy PreservingCollaborative Clustering using SOM for Horizontal Data Distribution.- A Hybrid Approach toClassification of Categorical Data based on Information-Theoretic ContextSelection.- Robust Stabilization ofUncertain T-S fuzzy systems: An Integral Error Dependant Sliding Surface DesignApproach.- Extreme learning machine foreukaryotic and prokaryotic promoter prediction.- A hybrid approach to themaximum clique problem in the domain of information management.- An Integrated Network Behaviorand Policy based data exfiltration detection framework.- Web Usages Mining in automaticdetection of Learning Style in Personalized e-Learning System.