https://doi.org/10.26706/ijceae.1.1.20141205

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Abstract:-

Neural networks are dynamic systems in the learning and training phase of their operations. The two well-known and commonly used types of recurrent neural networks, Hopfield neural network and Boltzmann machine have different structures and characteristics. This study gives an overview of Hopfield network and Boltzmann machine in terms of architectures, learning algorithms, comparison between these two networks from several different aspects as well as their applications.

Index Terms:-

Artificial neural network, Boltzmann machine, Hopfield network, learning algorithms

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