Paper Summary:

This paper explores recent developments in neural networks, which highlight the new opportunities that it provides as an analytical tool. According to the paper, the mathematical content of the methodology seems rather erudite and restrictive. This does not mean, however, that neural networking is not a very analytical tool. The paper concludes by stating that neural netorks can produce 'real' results, irrespective of the complexity of the methodology used.

From the Paper:

"The human brain is a very complex part of the human body, due mainly to the interactions and connectivity with other parts of our body, and the way it controls and defines every aspect of our being. The brain has continued to be a mystery to many scientists, but its role and capacity to process information is mimicked in many aspects of academia. Neural networks are one such process, that is, it maps some type of input stream of information to an output stream of data. It consists of ways to connect data/information to produce output that is consistent with the processes. It may seem simple, but as the analysis will highlight, this process is..."

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