data recognition
1.To make a device nonreceptive to unwanted data, through recognition of field definition characters in the received data.
3.Principal Component Analysis (PCA), Cluster Analysis (CA) and Probabilistic Neural Network (PNN) were used in the data analysis and pattern recognition.
4.A Kind of Data Compressing Method to Suit to Speech Recognition System for Isolated Word-WHT Algorithm
6.(2) The designed recognition model is used to program emulator, and trained the model with download data from EPD(eukaryote promoter database),then predict unknown data for model, the result indicate the building of recognition model is relatively successful.
9.The train data were used to train and modified the model parameters, the test data were used to testify the effect of the recognition model. The result of experimentation testifies the accurateness is 100 percent in the first stage and 93.3 percent in the second stage.
10.As an interdisciplinary field, Data Mining (DM) combines the efforts of statistics, computer science, pattern recognition, artificial intelligence, machine learning and other disciplines together.
