European Journal of Applied Engineering and Scientific Research
Abstract
Author(s): O.S. Eluyode , Dipo Theophilus Akomolafe
In this research project, the features of biological and artificial neural networks were studied by reviewing the
existing works of authorities in print and electronics on biological and artificial neural networks. The features were
then assessed and evaluated and comparative analysis of the two networks was carried out. The metrics such as
structures, layers, size and functional capabilities of neurons, learning capabilities, style of computation, processing
elements, processing speed, connections, strength, information storage, information transmission, communication
media selection, signal transduction and fault tolerance were used as basis for comparison. A major finding in the
research showed that artificial neural networks served as the platform for neuro-computing technology and as such
a major driver of the development of neuron-like computing system. It was also discovered that Information
processing of the future computer systems will greatly be influenced by the adoption of artificial neural network
model.
