A Study of Artificial Neural Networks for Embedded Systems

Computer Application

Artificial Neural Networks (ANNs) are actually employed in a number of key areas like prediction, motor control, classification, etc. ANN finds the applications of its in a variety of signal processing applications such as for instance picture recognition(image processing techniques),pattern recognition, method identification, various kinds of other control and filters(FIR,IIR) issues. The majority of the current ANN applications in business use tend to be produced as software, you will find particular applications like streaming video compression, which need very high volume adaptive real time processing as well as learning of big datasets in time that is reasonable and necessitate the usage of energy efficient ANN hardware with genuinely parallel processing capabilities .In this particular effort, a multilayer perceptron with over one hidden layers is recognized as and for the image processing program for example picture recognition, a look of an architecture for multilayer perceptron neuron network is actually attained by using FPGA. The style is actually applied by utilizing the various activation capabilities such as for instance linear activation function, hard limiter activation function, piecewise linear activation functions etc.

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