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Based on the comparison of several common methods of electronic compass error compensation, this paper presents a new error compensation method based on Adaptive Differential Evolution-Fourier Neural Networks (ADE-FNN) to improve the measurement accuracy of electronic compass. This method uses Fourier neural network to model electronic compass error, and adopts Adaptive Differential Evolution to optimize...
Using the measured frequency response function (FRF) data, a novel algorithm for structural health monitoring is proposed based on the principal component analysis (PCA) in this paper. First, the measured FRF data for a structure in both the healthy and the damaged states are used as the initial data. A PCA transformation is performed to obtain the features of an intact structure, in which an orthogonal...
Objective: Discussion based on neural networks in the 31P MR spectroscopy to distinguish hepatocellular carcinoma, normal liver and cirrhosis in value. Methods: Using self-organizing map neural network (SOM) analyse 66 data of 31P MRS, including hepatocellular carcinoma (13 samples), normal liver (16 samples) and liver cirrhosis (37 samples). Results: 31P MRS can be used for the diagnosis and differential...
Genetic algorithm is one of the commonly used approaches on machine learning. In this paper, we put forward a genetic algorithm approach for pruning decision tree. Binary coding is adopted in which an individual in a population consists of a fixed number of weight that stand for a solution candidate. The evaluation function considers error rate of decision tree over the test set. Three common operators...
It is a long time since researchers have devoted themselves to trust and reputation rating in E-commerce, and some useful fruits have also been achieved. However in my opinion, there should be a long way to go before human really master the trust mechanism. This paper first investigates swift trust rating indexes, which include interdependence, intensity of focusing role, categorization, environmental...
This paper introduces a virtual arthroscopy training simulator as a beneficial tool for partial meniscectomy procedure. The modeling methods of virtual environment, haptic interface establishment, and the system integration are described in detail. With the combination of interactive visual and haptic feedback, the simulator is designed to aid surgeons in getting acquainted with the arthroscopic view...
This paper simply depicts knowledge related to BP network and the algorithm first, then introduces BP tool functions supplied by Matlab for BP neural network research and how to program within the functions; finally explains the advantages supplied by BP tool functions for BP neural network research with BP neural application in pattern identification and curve imitation.
Almost all of the software development managers have to face such dilemma: recruitment or overwork to meet the deadline. How to place the right number of people at right place at right time to fulfill project objects is a great challenge to them. Furthermore initial estimation of project parameters base on their work experiences often lead to counter-intuitive results. In this work, we investigate...
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