Study on the Improved BP Algorithm and Application

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference(2009)

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Abstract
First, the paper analyzes the standard BP Algorithm. Toward the limitation of the standard BP algorithm, an improved BP algorithm is obtained by modifying the action function, regulating the learning rate and choosing the initial weights. And then a recognition example about license plate recognition technology is given to prove the improved BP algorithm. From the exam results, the improved BP algorithm has some advantages in fast convergence speed, short recognition time and high recognition rate.
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Key words
initial weight,exam result,short recognition time,bp alogrithm,vehicle license plate recognition,recognition example,neural network,improved bp algorithm,standard bp algorithm,fast convergence speed,action function,license plate recognition technology,high recognition rate,information processing,backpropagation,neural networks,neurofeedback,convergence,artificial neural networks,pattern recognition
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