3 results about "Linear svm" patented technology

The application relates to a recognition method based on voiceprint extraction and multi-index feature screening, and belongs to the technical field of speech processing and machine learning. The method comprises the following steps: pre-processing collected voice signals to obtain effective signals; performing feature extraction on the effective signals to obtain statistical features; calculating the difference degree and the correlation degree of the statistical features; performing multi-index feature screening according to the correlation degree and the difference degree of the statistical features to obtain effective features; and feeding the effective features into a linear support vector machine for classification. The method realizes high classification accuracy.

This invention provides a method for inverting the surrounding rock mechanical parameters of hydraulic cavern groups based on the PO-SVM collaborative optimization algorithm, relating to the field of water conservancy and hydropower engineering technology. This method combines the efficient search capability of the Parrot Optimization (PO) algorithm with the Linear Support Vector Machine (SVM), which can fully utilize the advantages of the PO algorithm in its strong global optimization capability and the efficient data learning capability of the SVM surrogate model, significantly reducing the number of global optimizations and the number of fitness evaluations of the objective function, thereby making the inversion of the surrounding rock mechanical parameters of the refined multi-grid model of hydraulic cavern groups more efficient and reliable.

The present application relates to a kind of based on spatial form feature's towed jamming countermeasure method, comprising: obtaining and channel, azimuth difference channel and the echo data of pitch difference channel, and utilize single pulse three-dimensional imaging technology to the three-dimensional imaging of radar forward-looking area to echo data, obtain three-dimensional point cloud;Utilize the spatial filtering algorithm based on density clustering to cluster clustering and noise rejection of three-dimensional point cloud, obtain several point cloud clusters;Based on the spatial covariance eigenvalue of point cloud cluster, the spatial form feature descriptor of each point cloud cluster is calculated;Based on the difference of target and jamming in spatial form, utilize soft interval linear SVM target discriminator to each point cloud cluster in point cloud cluster sample set Target identification and jamming suppression, obtain the target imaging result after anti-jamming.This method makes full use of the difference of jamming and target in spatial form feature realizes towed jamming countermeasure, jamming discrimination accuracy is higher, and the quality of target imaging result after anti-jamming is higher.