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These are BDE-enabled components which allow the user to specify fields from a database, and to process a single record, or an entire dataset through the trained network. These are the TNS2ServerTable and TNS2ServerQuery components. Two additional components are included in version 2.0. Users only need to supply the name and path of the network ‘.def’ file and the network inputs. TNS2Server, along with the DLL, is capable of executing any network trained with the NeuroShell 2 package, including GMDH networks. The TNS2Server components allow Delphi developers to run NeuroShell 2 networks within minutes of placing the component on their form using no C++ statements. Interfacing the DLL to a Delphi program, of course, requires additional Object Pascal programming and some knowledge of C++.
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Once trained, developers can embed their networks into Windows applications and execute them using the royalty-free runtime DLL which ships with the NeuroShell 2 system. Used to address a variety of prediction, forecasting, and classification problems, NeuroShell 2 networks are designed and trained using data contained a spreadsheet (e.g., Excel or 1-2-3) or the built-in spreadsheet-like grid within the NeuroShell development environment. The NeuroShell runtime DLL allows neural network developers to run trained networks from any Windows-based programming language which can call DLLs. The new component set, renamed TNS2Server 2.0, replaces AAS’ TNeural component which encapsulates the functionality of Ward Systems Group’s NeuroShell 2 runtime DLL.
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Applied Analytic Systems Releases New DelphiĬomponents for NeuroShell 2 Professional Interface Delphi Applications to the NeuroShell 2 Pro Run-time DLL ServerĮmail: Pennsylvania - July 21, 1997) - Applied Analytic Systems announced the release of version 2.0 of their 16-bit NeuroShell 2 components for Delphi 1.0 and the 32-bit components for Delphi 2.0/3.0 and C++ Builder.