Artificial Neural Networks are basically computational models of the nervous system of an organism that are used to study and apply various computational concepts like machine learning to treat and understand various central nervous system related diseases. A fundamental system of an Artificial Neural Network develops patterns based on different types of activities by an organism and how these relate to each other and how they can be interpreted for future use. The impact factor of journal provides quantitative assessment tool for grading, evaluating, sorting and comparing journals of similar kind. It reflects the average number of citations to recent articles published in science and social science journals in a particular year or period, and is frequently used as a proxy for the relative importance of a journal within its field. It is first devised by Eugene Garfield, the founder of the Institute for Scientific Information. The impact factor of a journal is evaluated by dividing the number of current year citations to the source items published in that journal during the previous two years.
Last date updated on September, 2020