Search Results for "excel neural network"

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Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...

... or applications. Easy identification of "huge files" throughout the network. Flexible grouping of clients and directories. Command line intefrace. Flexible reporting system. Reports can be viewed via a web browser or exported to Excel. Automatic disk space usage and data growth monitoring on client,partitions and filesystems. Disk growth limit monitoring and alert - Never run out of disk space again! Email notifications of alerts. Run custom scripts in response to defined events.

A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).

Simple monitoring utility to help optimizing a (MySQL) database server. Run the utility for a time to record queries on the database. Generate reports while the utility is running or afterwards. Reports are available as text or excel-sheets.

PlexBench is a cross-platform, web-enabled, analysis tool that is driven by a scalable backpropagation feed-forward neural network. It uses embedded Perl for scripting and is written in the style of an in-process Component Object Model (COM) C++ program.

FreeWERM is a web-based application that can manage the HR side of any business. It stores attendance, payroll, personnel, and departmental data. It can also create Excel reports and PDF documents based on the information in its database.

Multilayered feed-forward neural network software written in C++. Backpropagation and RPROP are available as training algorithms. Design goals: speed of execution when calculating the output to new data, and quality of training (preprocessing: PCA).

Urluminator uses urlsnarf to capture URLs that traverse the network and logs them to a MySQL database. It also includes a CGI script that allows you to view and search the DB. From the CGI you can also write out Excel Spreadsheets of the results.