Business: Artificial Neural Network and Data Essay Example

up of interconnected artificial neurons (17) and expert systems rely on inference engines as their "brain" (18). Nowadays, organizations recognize that unstructured knowledge contained within documents stored in their knowledge repositories can provide a significant competitive advantage.

Mathematical structures called neural networks are proficient in dealing with a vast number of variables and have the ability to learn. A status report is a reliable source for obtaining current information on an item's present condition, like orders, expenses, or production quantity. The fundamental components of a knowledge base within an expert system consist of facts, heuristics, and rules.

Forecasting and estimation involve using patterns in large datasets to predict future values. The three-tier architecture of data warehousing offers the benefit of separating functions and eliminating resource constraints, allowing for easy creation of data Mart. Major BI software companies do not provide the capability of reporting deletion.

Business intelligence relies on business analytics for providing models and analytical procedures. Sequence discovery is the process of identifying associations over time. Data archaeology is one of the tasks in data mining. The function of summing the weighted input elements is performed by the summation function in each processing element. Machine learning is used for knowledge refinement in an expert system.

Cluster analysis serves as an exploratory method in data analysis to address classification problems (31), while ETL (extract, transfer, and load) process involves extracting, transferring and loading data. Transformation is accomplished through the use of rules or lookup tables.