Alyuda Forecaster | Neural Network Forecasting Software

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Forecaster XL

Forecaster

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	Easy start with neural networks
		Alyuda Forecaster has a Wizard-like interface. This forecasting software does not require a background in neural networks or statistics. In fact, creating accurate forecasts in Standard mode is as easy as clicking a mouse.


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Forecasting software
	Alyuda Forecaster is a neural network forecasting software for Windows 98/Me/2000/XP/Vista. It is an extremely easy- to-use and yet powerful tool that allows you to make business and financial forecasts and data analysis using neural networks technology.
Comfort and Benefits
	Alyuda Forecaster is specifically designed to solve major problems encountered while using a neural network for forecasting purposes. In addition to the feature benefits you will: 1) save your time - no need to spend your time on learning the neural network theory; 2) automatically prepare your data - your data will be analyzed and converted to make it suitable for a neural network; 3) automatically accomplish the best neural network.

Three modes of Alyuda Forecaster

Offering three different interface modes, Forecaster provides maximum comfort for users with different levels of knowledge in neural networks.

Basic Mode: those users who receive the forecasting results values the quickest way possible will enjoy the Basic Mode. This mode has the minimum number of steps, does not display any intermediate results and requires minimum actions from the user.

Standard Mode: those users who are just beginning to use the power of neural networks in their forecasting will feel more comfortable when starting with the Standard Mode. This mode provides non-technical explanations and settings and requires no prior knowledge of neural networks.

Expert Mode: Seasoned neural network experts can use this mode to fully exploit all the power of neural networks and genetic algorithms. This mode provides fully customizable data analysis, preprocessing, network design, architecture search, training algorithm and parameter selection, as well as visual control over network errors during network training.