The nature of statistical learning theory
The nature of statistical learning theory
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
A trainable feature extractor for handwritten digit recognition
Pattern Recognition
A steganographic method based upon JPEG and particle swarm optimization algorithm
Information Sciences: an International Journal
Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification
Information Sciences: an International Journal
A hybrid machine learning approach to network anomaly detection
Information Sciences: an International Journal
Fuzzy functions with support vector machines
Information Sciences: an International Journal
Extended support vector interval regression networks for interval input-output data
Information Sciences: an International Journal
Information Sciences: an International Journal
A rough margin based support vector machine
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Multi-strategy ensemble particle swarm optimization for dynamic optimization
Information Sciences: an International Journal
Information Sciences: an International Journal
Support vector regression from simulation data and few experimental samples
Information Sciences: an International Journal
On-line fuzzy modeling via clustering and support vector machines
Information Sciences: an International Journal
Soft clustering using weighted one-class support vector machines
Pattern Recognition
Recursive reduced least squares support vector regression
Pattern Recognition
Knowledge discovery on RFM model using Bernoulli sequence
Expert Systems with Applications: An International Journal
Identifying core sets of discriminatory features using particle swarm optimization
Expert Systems with Applications: An International Journal
Associated evolution of a support vector machine-based classifier for pedestrian detection
Information Sciences: an International Journal
The forecasting model based on wavelet ν-support vector machine
Expert Systems with Applications: An International Journal
Particle swarm optimization with preference order ranking for multi-objective optimization
Information Sciences: an International Journal
A wrapper method for feature selection using Support Vector Machines
Information Sciences: an International Journal
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Information Sciences: an International Journal
Cellular particle swarm optimization
Information Sciences: an International Journal
Information Sciences: an International Journal
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
A new kernel-based fuzzy clustering approach: support vector clustering with cell growing
IEEE Transactions on Fuzzy Systems
Support vector learning for fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
The forecasting model based on modified SVRM and PSO penalizing Gaussian noise
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Ockham's Razor in memetic computing: Three stage optimal memetic exploration
Information Sciences: an International Journal
Improved modeling of clinical data with kernel methods
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Multi-sensor data fusion using support vector machine for motor fault detection
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Modeling and monitoring for handling nonlinear dynamic processes
Information Sciences: an International Journal
Fuzzy reasoning spiking neural P system for fault diagnosis
Information Sciences: an International Journal
Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Quantifying the reliability of fault classifiers
Information Sciences: an International Journal
Hi-index | 0.09 |
This paper proposes a robust loss function that penalizes hybrid noise (i.e., Gaussian noise, singularity points, and larger magnitude noise) in a complex fuzzy fault-diagnosis system. A mapping relationship between fuzzy numbers and crisp real numbers that allows a fuzzy sample set to be transformed into a crisp real sample set is also presented. Furthermore, the paper proposes a novel fuzzy robust wavelet support vector classifier (FRWSVC) based on a wavelet base function and develops an adaptive Gaussian particle swarm optimization (AGPSO) algorithm to seek the optimal unknown parameter of the FRWSVC. The results of experiments that apply the hybrid diagnosis model based on the FRWSVC and the AGPSO algorithm to fault diagnosis demonstrate that it is both feasible and effective. Tests comparing the method proposed in this paper against other fuzzy support vector classifier (FSVC) machines show that it outperforms them.