Analysis of different Z-score data to the neural network for automatic FSR vehicle classification

A combination of Z-score and Neural Network is use as part of the FSR vehicles classification system. The classification performance of different inputs to NN is evaluated. The input of NN will be the data that give positive number of Z-score and Z-score values. The results of vehicle classification for three different frequencies which are fixed at 64 MHz, 151 MHz and 434 MHz are presented and discussed. The result shows the relevancy of the proposed technique is effective in performing ground target classification. The result also indicates the data that provide the positive number of Zscore is the best input for classification of FSR ground target.