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NeuroSolutions for Application Developers

DAY 1:

Overview of using the advanced features and capabilities of NeuroSolutions

  • Using Macros to automate tasks
    • Introduction to macros and the MacroWizard utility
    • Recording a sequence of events
    • Using the MacroWizard editor and debugger
    • Assigning macros to dialog components and toolbar buttons
  • Customizing components using DLLs
    • Creating a new processing element activation function
    • Updating the backpropagation plane
    • Creating a new error criteria
    • Creating a new gradient search component
    • Specialized I/O
      • Creating a new file translator
      • Reading/Writing data to/from an external source
  • Using real-time data in NeuroSolutions (OLE automation)
    • Introduction to OLE Automation
    • More detail and projects on day 2
  • Creating C++ code using NeuroSolutions’ code generation
    • Introduction to C++ Code Generation
    • More detail and projects on day 2
  • Developing your own application using the Custom Solution Wizard
    • Introduction to the Custom Solution Wizard
    • More detail and projects on day 2

DAY 2:

Develop a neural network model using NeuroSolutions for Excel

  • Preprocess and partition the data
  • Define the neural model using the NeuralWizard
  • Train the network
  • Evaluate the results
  • Perform sensitivity analysis
    • Determine insignificant inputs
    • Re-train the network
  • Run batches of experiments
    • Multiple Runs
    • Vary a parameter
    • Custom – vary the neural model

Develop a C++ application that embeds code generated by NeuroSolutions

  • Generate the code for the model developed with NeuroSolutions for Excel
  • Analyze the code
    • Input/Output
    • Data Normalization
    • Loading the weights
  • Create a C++ application
  • Add an interface to
    • Select the Input file
    • Select the Output file
    • Test the network
  • Embed the neural network code into the C++ application

Develop an Excel application that embeds a neural network DLL

  • Run the Custom Solution Wizard
    • Select the breadboard developed with NeuroSolutions for Excel
    • Select Excel as the target for the shell application
    • Generate the DLL and the application shell
  • Develop the Excel application using VBA
    • Start with the generated project shell
    • Add a user interface
      • Test the network from the spreadsheet data
      • Retune the network from the spreadsheet data
    • Overview of differences between VB syntax and VC++

Develop a VB application that communicates with NeuroSolutions through OLE

  • Generate the core VB code
    • Open the breadboard developed with NeuroSolutions for Excel
    • Use the MacroWizard to generate the VB code for the operations to automate
  • Create a new VB application
    • Develop an interface which allows the user to
      • Enter the range to vary the hidden units
      • Select the Training, Cross Validation, and Testing files
      • Train the network multiple times
      • Test the best network
    • Insert the core VB code into the project
    • Modify the code to perform the desired tasks
  • Overview of differences between VB syntax and VC++
 


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