Does your work includes predicting your business, sports, or financial forecast in the foreseeable future? You might have found yourself under extreme pressure as it’s difficult to carry out various calculations and make accurate estimations. How would you like it, if you get an easy way to give estimations and forecasts relating to stock, sports score, or sales? Sounds strange though, but it’s not that difficult, as you would just require trying NeuroXL Predictor for the purpose. It’s a neural network tool that integrates with MS Excel, and is primarily used for forecasting and estimation tasks. The tool includes five transmission functions to choose from; Hyperbolic tangent, Threshold, Log-sigmoid, Bipolar sigmoid and Zero-based log-sigmoid.

NeuroXL Predictor 3.0.1 tool is an add-on designed for MS Excel that places an option in the Excel menu. To begin using it, you need to open a record in Excel, let’s say stock price data. Now if you have to know next day’s estimated closing price, just click on NeuroXL Predictor button on the menu. Starting with it, first you need to select the numerical data range influencing the output, and set the range for Output. Even, if you think its necessary, the range can be aligned, and the ‘Scale input and output values’ option can be enabled for scaling specified range’s values. While moving on with necessary selections, in addition to setting Epochs and Minimum weight delta count you can enable the option to show the learning process. Moreover, if you’re an advanced users then you make specifically set the ‘Initial weights’, ‘Learning rate’, ‘Momentum’, ‘Activation function’ and ‘Neurons in hidden layer’ features. Now, just click on ‘New’ and ‘Start Training’ option that begins the process, accompanying graphical representation, if enabled. When the training finishes, you need to set input and output range to get the predictions, and press ‘Predict’ that displays the result in specified cell.

The NeuroXL Predictor 3.0.1 tool makes the predictions considering the non-linear variables along with output of 2 technical analysis functions, by determining the relation in variables, and finding the relevant data patterns. For its easily-navigable features and the ability to carry out the estimation and prediction process with proficiency, the application is rated with 4 points.