Recently added articles from Neural Network World:
ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM MODELS FOR NARROW APERTURE DIMENSION CALCULATION OF OPTIMUM GAIN PYRAMIDAL HORNS
Sep 01, 2008; ... Abstract: A method based on the adaptive-network-based fuzzy inference system (ANFIS) is presented for computing the narrow aperture dimension of the pyramidal horn. Eight optimization algorithms, least-squares, hybrid learning, Nelder-Mead, genetic, differential evolution, particle ...
A NEURAL NETWORK APPROACH FOR GLOBAL OPTIMIZATION WITH APPLICATIONS
Sep 01, 2008; ... Abstract: We propose a neural network approach for global optimization with applications to nonlinear least square problems. The center idea is defined by the algorithm that is developed from neural network learning. By searching in the neighborhood of the target trajectory in the state ...
SIGNAL-TO-NOISE RATIOS FOR MEASURING SALIENCY OF FEATURES EXTRACTED BY EIGENVECTOR METHODS FROM ECG SIGNALS
Sep 01, 2008; ... Abstract: Medical diagnostic accuracies can be improved when the pattern is simplified through representation by important features. Features are used to represent patterns with minimal loss of important information. The feature vector, which is comprised of the set of all features used ...
WAVE PROBABILISTIES AND QUANTUM ENTANGLEMENT
Sep 01, 2008; ... Abstract: The paper continues with the theory of wave probabilistic models and uses the inclusion-exclusion rule to describe quantum entanglement as a wave probabilities resonance principle. The achieved results are mathematically described and an illustrative example is shown to ...
HIERARCHICAL DECOMPOSITION OF MULTICLASS PROBLEMS
Sep 01, 2008; ... Abstract: Several popular Machine Learning techniques are originally designed for the solution of two-class problems. However, several classification problems have more than two classes. One approach to deal with multiclass problems using binary classifiers is to decompose the multiclass ...