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In this paper, a sequential and partially parallel Fuzzy Adaptive Resonance Theory (ART) neural network (NN) are simulated. Simulations are performed in Matlab environment. According to simulation results, partially parallel Fuzzy ART NN is capable to reach by order higher speed of data processing than its sequential counterpart.
In this paper, General Purpose Graphical Processing Unit (GPGPU) based concurrent implementation of handwritten digit classifier is presented. Different styles of handwriting make it difficult to recognize a pattern but using neural network, it is not a difficult task to perform. Different softwares like torch and MATLAB provide the support of multiple training algorithms to train a network. By choosing...
Artificial To better achieve character recognition, analyze the impact of noise character. BP neural network application describes the process of character recognition, and the corresponding algorithm improvements. Created with MATLAB and training the neural network to identify the different samples, combined toolbox simulink simulation module, so that the character recognition to get better recognition...
Rising admissions in the South African institutions of higher education have enlarged student-to-lecturer ratios and increased the lecturer's workload, already burdened by administrative tasks. After marking tests, lecturers usually fill in a document called the cover page where the student's number, name and marks according to the questions are placed. Once this is done, they will have to recopy...
Combination of genetic algorithms and neural network intelligence technology, use of neural networks as a model, conversion of GPS Height, proposed the basic idea of the algorithm and the algorithm implementation process, and calculated by example. The results show that the algorithm used for better accuracy of GPS height transformation, has some practical value.
Based on ergonomics, fuzzy theory and BP neural network, weighted integrated comfort index WICI is proposed in the paper. WICI is calculated as the weighted sum of integrated comfort indices which gained by the data recorded in different periods of wheelchair assessment experiments. The integrated comfort index ICI is the output of a trained BP neural network. The inputs of the network are the main...
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