NeuralTools provides you with powerful neural network capabilities
in an environment that you are familiar with - Microsoft Excel.
NeuralTools procedures - such as defining data sets, training and
testing neural networks and predicting values using trained networks
- can be run on your data in Excel and the reports and charts from
your analyses are created in Excel.
Why Neural Networks?
Neural Networks are capable of learning complex relationships in
data. By mimicking the functions of the brain, they can discern
patterns in data, and then extrapolate predictions when given new
data. The problems Neural Networks are used for can be divided in
two general groups:
• Classification Problems: Problems in which you are trying to
determine what type of category an unknown item falls into.
Examples include medical diagnoses and prediction of credit
repayment ability.
• Numeric Problems: Situations where you need to predict a
specific numeric outcome. Examples include stock price
forecasting and predicting the level of sales during a future
time period.
NeuralTools comes with examples that show how to apply neural
networks to different prediction problems. The
NeuralToolsExamples folder contains the provided examples as
Excel workbooks.