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With the rapid development of China economy, the freight market continues to increase, which is shown by the freight amount rise of roadway, railway, and waterway. Therefore, forecasting accurately the future trend of freight amount has a very important strategic meaning. This paper uses BP neural network method to build the freight market forecast model in China. The predication error is just 0.02~0...
In this article, we study random walks on the neural network of C.elegans. We define a random variable Ysh(z) as the steps the first arriving random walker takes to arrive at the target h when all z walkers start out from the source s simultaneously. Some characteristics concerned with Ysh(z) are discussed. Firstly, we find that as walk number z increases, langYsh(z)rang drops drastically in the interval...
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