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In this paper, improved Logistic models are given, which are called Logarithm Logistic Models. Based on U.S. Census data, the parameters of the models were estimated by applying the Least Squares Method. The experiments show that the prediction value of the new models is much closer to the actual value than the classical Logistic model. Finally, through analyzing the rationality of the maximum population...
Sequence alignment is widely used in bioinformatics for revealing the genetic diversity of organisms and annotating gene functions by finding regions of similarity across biosequences. Such alignment requires sequences to be represented in the DNA or protein alphabet for tools such as Clustal to work. Previous work has demonstrated the feasibility of applying biosequence multiple alignment techniques...
A priori knowledge neural network is presented to model on the relationship between the port logistics capacity and coastal marine economic growth in Zhejiang province in China. Compared to other methods (such as general GM (1, 1) based time series model), the PKNN with multivariate and time series method has better performance. And, it is validated by predicting the level of coastal ocean economic...
The unidirectional logistics distribution vehicle routing problem with no time windows is considered. It contains the vehicle capacity restriction, the longest distance restriction and the full loaded vehicle. The solution must ensure the non-full loaded factor is the least and the total distance is the shortest. A multi-objective optimization mathematical model for the problem is established. And...
Sina Weibo is the most popular and fast growing microblogging social network in China. However, more and more spam messages are also emerging on Sina Weibo. How to detect these spam is essential for the social network security. While most previous studies attempt to detect the microblogging spam by identifying spammers, in this paper, we want to exam whether we can detect the spam by each single Weibo...
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