A fingerprint is an impression left by the friction ridges of a human finger. classification system groups according to their characteristics and therefore helps match against extensive database fingerprints. The Henry widely used among systems. Some researchers have traditional machine learning or deep for classification. Nevertheless, algorithms cannot extract depth features fingerprint, most...

To make the modulation classification system more suitable for signals in a wide range of signal to noise rate (SNR), a novel method of designing combined classifier based on fuzzy neural network (FNN) is presented in this paper. The method employs fuzzy neural network classifiers and interclass distance (ICD) to improve recognition reliability. Experimental results show that the proposed combi...

When BP neural network is widely used in many fields, this method shows a lot of shortcomings. In this article, the principle component analysis and BP neural network are combined together to establish a combined prediction model. Firstly, we should use principle component analysis to reduce the dimension of the variables and eliminate the co linearity among the variables. According to the sele...

estimating the final price of products is of great importance. for manufacturing companies proposing a final price is only possible after the design process over. these companies propose an approximate initial price of the required products to the customers for which some of time and money is required. here using the existing data of already designed transformers and utilizing the bayesian anal...

Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...