Uninorm based evolving neural networks and approximation capabilities

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Advances in intelligent systems

The power of different intelligent techniques, such as Artificial Neural Networks (ANNs), have been demonstrated over the years by their successful use in many types of problems with different degrees of complexity and in different fields of application. However, the use of a machine learning solution involves choosing a particular model and properly tuning a set of parameters that, together, c...

STRUCTURAL DAMAGE DETECTION BY MODEL UPDATING METHOD BASED ON CASCADE FEED-FORWARD NEURAL NETWORK AS AN EFFICIENT APPROXIMATION MECHANISM

Vibration based techniques of structural damage detection using model updating method, are computationally expensive for large-scale structures. In this study, after locating precisely the eventual damage of a structure using modal strain energy based index (MSEBI), To efficiently reduce the computational cost of model updating during the optimization process of damage severity detection, the M...

Comparison of the performances of neural networks specification, the Translog and the Fourier flexible forms when different production technologies are used

This paper investigates the performances of artificial neural networks approximation, the Translog and the Fourier flexible functional forms for the cost function, when different production technologies are used. Using simulated data bases, the author provides a comparison in terms of capability to reproduce input demands and in terms of the corresponding input elasticities of substitution esti...

Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks

In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. This method, based on the application of regression and artificial neural networks (AAN), has been used to predict red mud bound-soda losses in Iran Alumina C...