Entropy Measures for Data Analysis: Theory, Algorithms and Applications |
Autore | Keller Karsten |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (260 p.) |
Soggetto non controllato |
fault diagnosis
empirical mode decomposition auditory attention Dempster-Shafer evidence theory simulation uncertainty of basic probability assignment center of pressure displacement particle size distribution multivariate analysis symbolic analysis permutation entropy short time records co-evolution plausibility transformation experiment of design cross-entropy method weighted Hartley entropy firefly algorithm embedded dimension entropy measure effective transfer entropy treadmill walking ordinal patterns complex fuzzy set entropy visualization belief entropy signal classification machine learning evaluation novelty detection selfsimilar measure Permutation entropy automatic learning cross wavelet transform cross-visibility graphs Kolmogorov-Sinai entropy distance Shannon-type relations Tsallis entropy market crash support vector machine (SVM) conditional entropy of ordinal patterns sample entropy learning electroencephalography (EEG) meta-heuristic entropy data transformation information entropy signal analysis synchronization analysis similarity indices data analysis geodesic distance auditory attention classifier entropy measures distance induced vague entropy analog circuit vague entropy complex vague soft set entropy balance equation parametric t-distributed stochastic neighbor embedding global optimization learning systems image entropy algorithmic complexity support vector machine system coupling relevance analysis Chinese stock sectors Shannon entropy linear discriminant analysis (LDA) information information transfer dual-tasking non-probabilistic entropy |
ISBN | 3-03928-033-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Entropy Measures for Data Analysis |
Record Nr. | UNINA-9910367736303321 |
Keller Karsten | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Swarm Robotics |
Autore | Spezzano Giandomenico |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (310 p.) |
Soggetto non controllato |
self-organization
signal source localization multi-robot system sensor deployment parallel technique shape normalization genetic algorithm multiple robots optimization improved potential field optimal configuration autonomous docking asymmetrical interaction comparison behaviors patterns self-assembly robots congestion control surface-water environment target recognition coordinate motion UAV swarms formation reconfiguration swarm robotics swarm intelligence artificial bee colony algorithm obstacle avoidance fish swarm optimization search algorithm robotics time-difference-of-arrival (TDOA) formation mobile robots formation control meta-heuristic event-triggered communication search virtual structure 3D model identification surveillance event-driven coverage scale-invariant feature transform system stability Swarm intelligence algorithm bionic intelligent algorithm unmanned aerial vehicle underwater environment artificial flora (AF) algorithm swarm behavior weighted implicit shape representation Cramer-Rao low bound (CRLB) environmental perception particle swarm optimization modular robots cooperative target hunting virtual linkage multi-AUV consensus control panoramic view nonlinear disturbance observer sliding mode controller path optimization Swarm Chemistry multi-agents |
ISBN | 3-03897-923-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674019203321 |
Spezzano Giandomenico | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Symmetry in Mechanical Engineering |
Autore | Glowacz Adam |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (372 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
traveling waves
vibration stability self-excited vibration thin spur gear variational mode decomposition signal analysis time-frequency analysis center frequency method of double thresholds Hilbert transform finite-time control terminal sliding mode chattering neural network thin-walled structures higher-order deformation modes identification doubly symmetric cross-sections shell-like deformation dual mass flywheel absolute sensitivity relative sensitivity torsional vibration spring Dempster's rule evidence distance pattern recognition maritime surveillance customer needs bad parameters core problems design process conceptual design time-varying P-type IL method MFA control imprecise probability active control piezoelectric cantilever plate image processing particle distribution rolling bearings Fault diagnosis second-order tristable stochastic resonance seeker optimization algorithm output signal-to-noise ratio global optimization meta-heuristic butterfly optimization algorithm cross-entropy method engineering design problems grinding rheology breakage parameters relative viscosity tool wear state CNN BiLSTM attention mechanism signal features vibrations symmetries two-engine vehicle rear clutch front clutch vibration modes granulation on-line monitoring fertilizers parallel robot minimally invasive procedures algebraic modeling Study parameters fractional damping vibration dynamic behaviour hybrid mechanism helicopter abrasive belt grinding predictive model regression material removal electric vehicles PMSM auxiliary slot response surface methodology |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557134803321 |
Glowacz Adam | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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