mobile robot navigation is one of the basic problems in robotics. in this paper, a new approachis proposed for autonomous mobile robot navigation in an unknown environment. the proposedapproach is based on learning virtual parallel paths that propel the mobile robot toward the trackusing a multi-layer, feed-forward neural network. for training, a human operator navigates themobile robot in some...

in the present study iran’s rice imports trend is forecasted, using artificial neural networks and econometric methods, during 2009 to 2013, and their results are compared. the results showed that feet forward neural network leading with less forecast error and had better performance in comparison to econometric techniques and also, other methods of neural networks, such as recurrent networks a...

In this paper, a one-port time-domain/frequencydomain based technique using a short-circuited coaxial geometry inserted vertically in a liquid tank is designed and presented as a multi-level storage tank gauge and monitor. For storage tanks of small physical liquid levels, the attenuation inside the coaxial cable sensor may be neglected and both the physical liquid levels and liquid permittivit...

A new architecture and methods for information storage in neural networks are presented. Behaving as Adaptive Resonance Theory neural networks, the proposed architecture is based on a different operation principle called Chaos Resonance Theory . According to this theory, standard neural units were replaced with small recurrent neural networks with chaotic dynamics, placed in a two layer archite...

The main contribution of the present paper is to train efficient neural networks for seismic design of double layer grids subject to multiple-earthquake loading. As the seismic analysis and design of such large scale structures require high computational efforts, employing neural network techniques substantially decreases the computational burden. Square-on-square double layer grids with the va...

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...