Download Building Intelligent .NET Applications: Agents, Data Mining, by Sara Morgan Rea PDF

By Sara Morgan Rea

Synthetic intelligence (AI) has been in life virtually so long as pcs. although, only in the near past have AI suggestions been commonly integrated by way of businesses to augment conventional company applications.Building clever .NET functions is an advent to the realm of man-made Intelligence (AI) for .NET programmers. it's the first ebook to teach specialist .NET builders the way to include AI into their day-by-day programming. during this available advisor, builders will the best way to improve either new and current .NET purposes with clever brokers, facts mining, rule-based platforms, and speech processing.The writer explores 4 of the preferred AI applied sciences by way of development real-world pattern functions that readers can use because the foundation for his or her personal functions.

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Extra resources for Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing

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47 48 < Day Day Up > < Day Day Up > Loading the Sales Scheduling Database To run the code accompanying this chapter, you will need to create a database in Microsoft SQL Server named SalesScheduling. mdf that can be attached to a SQL Server installation. To attach the SQL database, execute the following steps: 1. ldf files from the book's Web site to a local directory on the server where Microsoft SQL Server is installed. 2. Open Microsoft Enterprise Manager 3. Right-click the Databases node and click All Tasks.

Every time the speech engine processes input from the user, it returns an SML stream that indicates what was recognized. 0 indicates a 100 percent confidence). Controls can be configured to only accept results above a certain confidence score. 70 and then adjusting it if necessary. LoadGrammarFile also calls a function named ConvertDataItem, seen as follows, which is used to format the record values as XML. ascx. js. It also contains QA controls for our global commands Help and Repeat. Otherwise, we would have to duplicate these controls on every page.

The output window will display the Semantic Markup Language (SML), which is the XML generated by the speech engine and sent to the application. If the text was recognized, you will see "Check Path test successfully complete" at the bottom of the output window. Tip Do not use quotation marks when entering text in the Recognition String textbox. Doing so will cause the speech engine not to recognize the text. The Script tag element is used to value a semantic item with the user's response. The properties for a script tag include an ellipsis that brings you to the Semantic Script Editor.

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