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In the multilayer perceptron (MLP), there was a theorem about the maximum number of separable regions (M) given the number of hidden nodes (H) in the input d-dimensional space. We propose a recurrence relation to prove the theorem using the expansion of recurrence relation instead of proof by induction. We use three-layer radial basis function net (RBF) on the well log data inversion to test the number...
A fast and robust colorectal polyp detection framework in CT colonography was proposed. In order to speed the detection of polyp in CT colonography, a cascade-Adaboost framework was employed, and a lot of candidates were rejected quickly in the first stages of the cascade framework. To improve the performance of cascade-Adaboost, cascade indifference curve was explored to determine detection rate...
We use the radial basis function network (RBF) for well log data inversion. The first step of the network is the K-means clustering. For the second step, we adopt the 2-layer perceptron instead of conventional 1-layer perceptron. The 2-layer perceptron can do the more nonlinear mapping. The gradient descent method is used in the back propagation learning rule at the second step. The input of the network...
There is no sufficient evidence on classification, because of lack of hydraulic system fault samples. The classification results with definite guess are not exactly right. Meanwhile, there are many types of hydraulic system faults, but present classifiers can only classify two-class problems, which are not fit for hydraulic system faults diagnosis. In order to solve the preceding problems, a method...
It is a trouble thing to build theoretical model for stir characteristics of screw axis with variable diameters and different pitches, so a called PSO-BP neural network (NN) model was employed. In this mode, particle swarm optimization (PSO) algorithm is used to train weights and thresholds of artificial neural network instead of BP algorithm, to overcome drawbacks of BP algorithm. To avoid the slow...
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