This paper presents a novel fast Adaboost training algorithm by dynamic weight trimming,which increases the training speed greatly when dealing with large datasets.

A new weight cut fuzzy median filter is proposed.

RNA secondary structure prediction algorithm based on fast dynamic weighted matching;

Aggregation of Expert s Opinion with Dynamic Weight for Fuzzy Group Decision-Making;

Research on influences of factors dynamic weight on slope stability

The concepts of both the static weights and dynamic weights of experts and their distinction are studied.

In order to make the decision-making more objective and accurate,basing on the distinction between experts static weights and experts dynamic weights,the paper researches the method to decide experts dynamic weights in interactive decision-making and brings out a definition of consensus degree.

The algorithm of the model includes the adaptive inputting and static culling of raw data, renewing of error evaluation criterion, and frametoframe coherence.