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Quality control in the production process is the core of the enterprise to ensure product quality, and quality prediction is the key link of quality control and quality management. Aiming at the quality prediction of parts in the production process, a product quality prediction model is established. In this model, Rough Set (RS), Particle Swarm Optimization (PSO), and Least Square Support Vector Machine...
A hybrid algorithm based on kernel canonical correlation analysis (KCCA) and false nearest neighbor method (FNN) for selecting variables to reduce redundant feature and increate accuracy in nonlinear system modeling. In the proposed method, the KCCA can be employed to overcome difficulties encountered with the existing multicollinearity between the factors, the FNN can be used to calculate the variables'...
The kernel principal components analysis (KPCA) can be used to convert a set of nonlinear variables into a linearly separable factors and overcome difficulties encountered with the existing multicollinearity between the factors. However the nonlinear system modeling method does not reduce the number of original features. This paper presents a novel method based on KPCA and selection of false nearest...
It is researched in the paper about the application of neural network's pattern recognition. Through theoretical study and algorithm analysis, MATLAB 6.1 and Visual Basic 6.0 as design platform and development tools, use of MATLAB software establishment of neural network identification models, and then in accordance with the model for network debugging, simulation, testing, and programming fast, accessible...
The temperature control system of electric heater is a complex system. It has several characters such as nonlinear, parameter time variation, lots of control variables, controlled variables delay, etc. There exists interference caused by many uncertain factors. The traditional fuzzy controller can hardly ensure that the system controlling effect kept in ideal state all the time. Aimed at existent...
Will being an important part of modern operation room, in recent years computer-aided technology has become more and more integrated in different surgical procedures, such as brain, spine, ENT, hip, knee etc. A vast number of papers have been published on computer assisted knee surgery recently with inspiring clinical results, such as more precise alignment and more minimally invasive. An innovative...
In the existing fluoroscopic-image-based orthopedic surgical navigation system, C-arm calibration target has several shortcomings. In order to overcome these shortcomings, an innovative conceptual design for calibration target is proposed. If the redesigned calibration target can be materialized and substituted for the existing one, and relevant software can be adapted accordingly, performance of...
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