Paper Search Console

Home Search Page About Contact

Journal Title

Title of Journal: Neural Comput Applic

Search In Journal Title:

Abbravation: Neural Computing and Applications

Search In Journal Abbravation:

Publisher

Springer London

Search In Publisher:

DOI

10.1002/pssb.2221320218

Search In DOI:

ISSN

1433-3058

Search In ISSN:
Search In Title Of Papers:

Rulebased back propagation neural networks for va

Authors: Zairan Li Kai Shi Nilanjan Dey Amira S Ashour Dan Wang Valentina E Balas Pamela McCauley Fuqian Shi
Publish Date: 2016/11/17
Volume: 28, Issue: 3, Pages: 613-630
PDF Link

Abstract

Nonlinear operators for KANSEI evaluation dataset were significantly developed such as uncertainty reason techniques including rough set fuzzy set and neural networks In order to extract more accurate KANSEI knowledge rulebased presentation was concluded a promising way in KANSEI engineering research In the present work variable precision rough set was applied in rulebased system to reduce the complexity of the knowledge database from normal item dataset to high frequent rule set In addition evidence theory’s reliability indices namely the support and confidence for rulebased knowledge presentation were proposed by using back propagation neural network with Bayesian regularization algorithm The proposed method was applied in shoes KANSEI evaluation system for a certain KANSEI adjective the key form features of products were predicted Some similar algorithms such as Levenberg–Marquardt and scaled conjugate gradient were also discussed and compared to establish the effectiveness of the proposed approach The experimental results established the effectiveness and feasibility of the proposed algorithms customized for shoe industry where the proposed back propagation neural network/Bayesian regularization approach achieved superior performance compared to the other algorithms in terms of the performance gradient Mu Effective number of parameter and the sum square parameter in KANSEI support and confidence time series prediction

Keywords:

References

.
Search In Abstract Of Papers:
Other Papers In This Journal:
  1. RAST: finding related documents based on triplet similarity
  2. Reliability-based design optimization using the directional bat algorithm
  3. Training echo state networks for rotation-invariant bone marrow cell classification
  4. Supervisory recurrent fuzzy neural network control for vehicle collision avoidance system design
  5. A fast leave-one-out cross-validation for SVM-like family
  6. Micro-genetic algorithms for detecting and classifying electric power disturbances
  7. Multi-directional two-dimensional PCA with matching score level fusion for face recognition
  8. Square-mean almost periodic solution for stochastic Hopfield neural networks with time-varying delays on timescales
  9. Cloud computing-based parallel genetic algorithm for gene selection in cancer classification
  10. An effective system for parameter optimization in photolithography process of a LGP stamper
  11. A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture
  12. Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays
  13. A fuzzy system approach to multilateral automated negotiation in B2C e-commerce
  14. Nonnegative matrix factorization-based hyperspectral and panchromatic image fusion
  15. Nonnegative matrix factorization-based hyperspectral and panchromatic image fusion
  16. Neural networks-based adaptive control for a class of nonlinear bioprocesses
  17. Design of stochastic solvers based on genetic algorithms for solving nonlinear equations
  18. Heuristic techniques to optimize neural network architecture in manufacturing applications
  19. A hybrid genetic based functional link artificial neural network with a statistical comparison of classifiers over multiple datasets
  20. Discrete cuckoo search algorithm for the travelling salesman problem
  21. Probabilistic wind power forecasting using a novel hybrid intelligent method
  22. Learning to memorize input--output mapping as bifurcation in neural dynamics: relevance of multiple timescales for synapse changes
  23. Extracting knowledge of customers’ preferences in massively multiplayer online role playing games
  24. 3D radial invariant of dual Hahn moments
  25. Application of feature-weighted Support Vector regression using grey correlation degree to stock price forecasting
  26. Solving time-varying quadratic programs based on finite-time Zhang neural networks and their application to robot tracking
  27. A new global fuzzy fault-tolerant control for a double inverted pendulum based on time-delay replacement
  28. Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data
  29. Incorporating the effects of hike in energy prices into energy consumption forecasting: a fuzzy expert system
  30. Improved convergence criteria for HCNNs with delays and oscillating coefficients in leakage terms
  31. Enhancement of a text-independent speaker verification system by using feature combination and parallel structure classifiers
  32. Artificial neural network model for effective cancer classification using microarray gene expression data
  33. Unsupervised feature selection for sensor time-series in pervasive computing applications
  34. Speed control of SRM supplied by photovoltaic system via ant colony optimization algorithm
  35. A neuro-inspired visual tracking method based on programmable system-on-chip platform
  36. A class of type-2 fuzzy neural networks for nonlinear dynamical system identification
  37. Review of input determination techniques for neural network models based on mutual information and genetic algorithms
  38. Delay-dependent H ∞ and generalized H 2 filtering for stochastic neural networks with time-varying delay and noise disturbance
  39. Coevolutionary genetic watermarking for owner identification
  40. The prediction of SO 2 removal using statistical methods and artificial neural network
  41. A novel construction of substitution box for image encryption applications with Gingerbreadman chaotic map and S 8 permutation
  42. Stability of uncertain impulsive stochastic fuzzy neural networks with two additive time delays in the leakage term
  43. An adaptive local linear optimized radial basis functional neural network model for financial time series prediction
  44. Advances in design and application of neural networks
  45. Machine learning use in predicting interior spruce wood density utilizing progeny test information
  46. Robust state estimator design for uncertain linear systems using optimization techniques
  47. Compressibility indices of saturated clays by group method of data handling and genetic algorithms
  48. New results on the stability of fuzzy cellular neural networks with time-varying leakage delays
  49. Projective synchronization of two different fractional-order chaotic systems via adaptive fuzzy control
  50. A computational approach for nuclear export signals identification using spiking neural P systems
  51. A computational approach for nuclear export signals identification using spiking neural P systems
  52. Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods
  53. Newborn footprint recognition using orientation feature
  54. Wind speed forecasting using the NARX model, case: La Mata, Oaxaca, México
  55. Prediction and characterization of surface roughness using sandblasting and acid etching process on new non-toxic titanium biomaterial: adaptive-network-based fuzzy inference System
  56. Computer-aided prediction of the Al 2 O 3 nanoparticles’ effects on tensile strength and percentage of water absorption of concrete specimens
  57. A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation
  58. A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation
  59. Multi-objective particle swarm-differential evolution algorithm
  60. Vectorization path planning for autonomous mobile agent in unknown environment
  61. State estimation in MIMO nonlinear systems subject to unknown deadzones using recurrent neural networks
  62. DGM (1, 1) model optimized by MVO (multi-verse optimizer) for annual peak load forecasting
  63. A new approach to ranking attributes in attribute based access control using decision fusion
  64. Intelligent diagnosis method for a centrifugal pump using features of vibration signals
  65. A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection
Search Result: