In order to analyze the evolvement trend of the network threat and to explore the self-perception and control problem of the security situation, the dynamic wavelet neural network model is integrated into the model design, and a kind of network security situation awareness based on the optimized dynamic wavelet neural network is put forward, so as to enhance the interaction and cognitive abilit...

Neural networks (NNs) are emerging as powerful tools to represent the dynamics of control systems with complicated physics or black-box components. Due complexity NNs, however, existing methods unable synthesize complex behaviors guarantees for NN dynamic models (NNDMs). This work introduces a synthesis framework stochastic NNDMs performance guarantees. The focus is on specifications expressed ...

Analog circuits for depressing synapses are proposed for emulating the dynamic properties of neural networks using dynamic neurons. Although the circuits have few MOS transistors, they mimic well the dynamic properties of depressing synapses. A simple neural network using depressing synapses is introduced for evaluating the performance of hardware depressing synapses. We show that a device usin...

In this paper, a new architecture combining dynamic neural units and fuzzy logic approaches is proposed for a complex chemical process modeling. Such processes need a particular care where the designer constructs the neural network, the fuzzy and the fuzzy neural network models which are very useful in black box modeling. The proposed architecture is specified to the pH chemical reactor due to ...

In the dynamic global economy, the accuracy in forecasting the foreign currency exchange rates is of crucial importance for any future investment. The use of computational intelligence based techniques for forecasting has been proved extremely successful in recent times. The aim of this study is to identify a neural network model which has ability to predict the US Dollar against Sri Lankan Rup...

Organizations expose to financial risk that can lead to bankruptcy and loss of business is increased nowadays. This may leads to discontinuity in operations, increased legal fees, administrative costs and other indirect costs. Accordingly, the purpose of this study was to predict the financial crisis of Tehran Stock Exchange using neural network and genetic algorithm. This research is descripti...