New H
∞ Controller Design for Neural Networks with Interval Time-Varying Delays in State and Observation
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization
A New Training Method for Large Self Organizing Maps
Parallel Chaos Search Based Incremental Extreme Learning Machine
Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting
Neighborhood Correlation Analysis for Semi-paired Two-View Data
Feature Extraction Based on Maximum Nearest Subspace Margin Criterion
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis
Exponential Synchronization of Stochastic Fuzzy Cellular Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control
Using Laplacian Eigenmap as Heuristic Information to Solve Nonlinear Constraints Defined on a Graph and Its Application in Distributed Range-Free Localization of Wireless Sensor Networks