Neuro Excel Classifier is a fast, powerful and easy-to-use neural network software tool for classifying data in Microsoft Excel. Designed to aid experts in real-world data mining and pattern recognition tasks, it hides the underlying complexity of neural network processes while providing graphs and statistics for the user to easily understand results. Neural Networks Excel (NeuroXL) Classifier uses only proven algorithms and techniques, and integrates seamlessly with Microsoft Excel.
The Value of Neural Networks for Classification
In finance, science, and business, analysts are often faced with the task of classifying items based on historical or measured data. Stock market analysts may wish to categorize a group of stocks as buy, sell, or hold; a cancer researcher may wish to categorize a list of tumors as benign or malignant; a mortgage analyst may wish to categorize loans as good or bad. A major difficulty faced by such analysts is that the data to be classified can often be quite complex, with numerous interrelated variables. The time and effort required to develop a model to solve accurately such classification problems can be significant.
Neural networks are a proven, widely used technology to solve such complex classification problems. Loosely modeled after the human brain, neural networks are interconnected networks of independent processors that, by changing their connections (known as training), learn the solution to a problem. Neural Networks Excel (NeuroXL) Classifier implements self-organizing neural networks, which perform categorization by learning the trends and relationships within your data.
Despite their effectiveness, neural networks are often not used for classification due to their complexity and the learning required to implement them properly. Neural Networks Excel (NeuroXL) Classifier removes these barriers by hiding the complexity of its advanced neural network-based methods while taking advantage of analysts' existing knowledge of Microsoft Excel spreadsheets. You simply supply the data, and Neural Networks Excel (NeuroXL) Classifier implements a neural network that categorizes your data according to your preferences. Since users supply data through the familiar Excel interface, learning time is minimal, greatly reducing the interval between installing the software and performing classifications. The application is extremely intuitive and easy-to-use for beginners, not requiring any previous knowledge of neural networks, yet powerful enough for the most demanding professionals.
In summary, these are the key advantages of Neural Networks Excel (NeuroXL) Classifier:
- Easy to learn and use
- No prior knowledge of neural networks required
- Integrates seamlessly with Microsoft Excel
- Provides proven neural network technology for highly accurate classification
- Detects relationships and trends in data that traditional methods overlook
- Lowest cost neural network classification product on the market
Neural Networks Excel (NeuroXL) Classifier can be applied to problems in a variety of areas and industries, including:
Finance: Neural Networks Excel (NeuroXL) Classifier's ability to handle numerous, often-interrelated variables makes it widely applicable to the financial industry. One such application is financial risk assessment, where Neural Networks Excel (NeuroXL) Classifier can be used to categorize loan applications as good or bad. Another is stock market analysis, where a trader may wish to classify stocks as buy, hold, or sell based on historical data. Other applications include:
- Credit scoring.
- Bond ratings.
- Mortgage risk analysis.
Research Science: Researchers are often faced with the task of classifying chemicals, animals, cells, materials or other items based on measured or historical data. Neural Networks Excel (NeuroXL) Classifier's ability to spot trends and relationships in large data sets makes it well suited for such applications. Specific examples include:
- Protein sequencing.
- Weather pattern classification.
- Air quality analysis.
- Insect gender determination.
Medicine: Neural networks have enjoyed widespread adoption in the field of medicine due to their ability to classify accurately diseases, genes, tumors, and other medical phenomena. Examples of the use of Neural Networks Excel (NeuroXL) Classifier in this field include:
- Classification of EEG (electroencephalography) data of patients with sleep disorders.
- Tumor classification in breast cancer patients.
- Identification of genome types.
General Business: Neural Networks Excel (NeuroXL) Classifier's advanced classification abilities and integration with Microsoft Excel make it a powerful and practical tool for solving business problems. Examples of typical applications include:
Common complaints heard about other classification software packages are that they are too slow, too difficult to use, or that data must be re-formatted before processing. Neural Networks Excel (NeuroXL) Classifier, using optimized neural network technology, produces classifications quickly and efficiently. It also requires no prior knowledge of neural networks, and is extremely easy-to-use. Being integrated into Microsoft Excel leverages your existing application knowledge and eliminates the need to export data and import the results. Useful classifications can be performed often just minutes after installation. Users just need to specify input and output references, perform a few mouse movements, and their classification is returned.
Neural network classification software typically costs hundreds, sometimes even thousands of dollars per license. Neural Networks Excel (NeuroXL) Classifier is the first and only solution to offer this advanced technology for less than fifty dollars! The table below shows the price advantage of Neural Networks Excel (NeuroXL) over competing products
Since Neural Networks Excel (NeuroXL) is an add-on to Microsoft Excel, it can perform classifications on your existing data already in spreadsheet form. Let's say you have a table with various economic, geographic and demographic statistics for certain countries.
Now, let's say you want to divide these countries into 3 separate groups. Each group will contain countries that share similar characteristics. The steps to accomplish this are:
1. Select Neural Networks Excel (NeuroXL) Classifier from the menu in MS Excel
This will launch the program, bringing up the Neural Networks Excel (NeuroXL) Classifier dialog box
2. Specify the range of input data that you wish to be classified under "Inputs", and then specify the cell where you would like to Start outputting the classified data.
3. Set the following parameters:
4. Click the "Classify" button. The results for this operation are:
The countries are now grouped into three distinct categories. The average data values for these categories are displayed, as well as the weight of each cluster, which represents the percentage of items belonging to the cluster. A graphical representation of each cluster can be created from the data above
From this graph, we can determine the characteristics of each cluster. For example, cluster 1 contains countries with large populations, below average population growth, large land and water areas, plentiful irrigated lands, and above average GDP growth.
In four simple steps, we have performed a complex neural network classification of our data. Neural Networks Excel (NeuroXL) Classifier does the work of detecting relevant patterns and trends and then grouping the data into the resulting categories. All the user needs to do is specify the inputs and set the required parameters.
Neural Networks Excel (NeuroXL) Classifier is a powerful, easy-to-use and affordable solution for advanced classification of simple and complex data. By harnessing the latest advances in artificial intelligence and neural network technology, it delivers accurate and fast classifications. Designed as an add-on to Microsoft Excel, it is easy to learn and use and requires no importing or exporting of data. Neural Networks Excel (NeuroXL) Classifier can be applied to solve problems in numerous industries and disciplines, including finance, business, medicine, and research science
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