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The cost performance of radio simulation software is not high because of radio's characteristics of variety frequent update and complete function. An idea of radio simulation training platform design based on components is put forward through analyzing of the various components and functions of the radio. The article design functions and technical architectures of the simulation platform. Component...
To segment magnetic resonance image series is an interdisciplinary topic that involves both medical and computer science. It is one of the most important steps for medical diagnosis and quantitative analysis. This paper proposes an automatic segmentation method based on support vector machine (SVM). Feature vectors are generated according to both grayscale value and texture pattern of MR brain images...
In this paper, we present a new method to learn statistical part-based structure models for object category recognition in a supervised manner. The method learns both a model of local part appearance and a model of the spatial relations between those parts. By using histograms of oriented gradient (HOG) features to describe local part appearance within an image, we investigate whether richer appearance...
A multi-layer back propagation artificial neural network (BPNN) was used to predict the friction coefficient and the specific wear rate of short fiber reinforced polyetheretherketone (PEEK) composites. The best network structure for property forecast is decided as 5-[29]1-2. The train function is trainlm, and the transfer functions from input to hidden layers and from hidden to output layers are logsig...
The quality of copper strips directly affects the performance and quality of copper and its products. So there is great significance to detect and recognize the surface defects in copper strips. The testing results from traditional manual inspection methods are unsatisfactory. So, this paper presents a novel recognition method of surface defects in copper strip based on fuzzy neural network. In this...
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