Sentence examples for feature reduction from inspiring English sources

However, no feature reduction algorithm designed specifically for Probabilistic Neural Network (PNN) is found in literature.

We introduce a concept of network connectivity to quantify the aspect of feature reduction.

In addition, a feature reduction scheme and a rotation-invariant conversion method are developed.

We visualize sensitivities and sensitive cluster centers (after feature reduction) on the car shape.

The results show that feature reduction techniques are very effective in obtaining better results while using FLANN-Genetic.

Finally, we proposed a combined scheme of feature reduction methods followed by pattern recognition methods to classify voice disorders.

The proposed iterative approach utilizes a weighted PNN with one smoothing factor for each variable in the feature reduction stage.

The method is based on feature generation by Fast Fourier Transform (FFT), feature reduction by PCA and classification by MFNN.

This paper presents a new method for feature reduction, and compares it with some methods presented earlier in the literature.

In order to increase the robustness of the classifier and to reduce the data processing load, feature reduction is necessary.

Accuracy-oriented feature reduction was performed when choosing the optimal number of features for building the classification model.