Neural network
Description
A business object of the neural network type refers to a model previously created with the Build Neural Network app for mapping input data to output data. The number and type of input and output data was previously trained in the model and can be used directly in the maintenance app.
Functionality
Input window
This app is used to maintain and query a neural network. The core of the neural network is the reference to the actual neural network saved as an .xml file (see Storage field). The other data fields are used to further describe and classify the neural network.
This app can also be used to test the neural network. To do this, you must enter the input data defined by the model; after pressing the "Apply" button, the most probable output values are displayed.
| Menu item | Description |
|---|---|
| Edit | - |
| : search terms | Maintain the search terms under which a neural network is to be found. |
| : notes | Create/edit notes. |
| : Create transaction note | - |
| : : note | Create transaction document. |
| : operations | Call up processes. |
| : validity | Set validity. |
| : Close | The app is closed. |
| Search | Call up list window |
| Preferences | Call up options window |
| Icon | Description |
|---|---|
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Create new neural network |
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Save changes |
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Delete neural network |
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Create/edit notes |
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Call up operations |
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Create operation document |
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Set validity |
| Field | Description |
|---|---|
| Neural network | |
| : data | - |
| : : number | Unique number of the neural network. This number is optional. |
| : : short name* | Short name of the neural network. This field must be maintained. |
| : : classification | Optional assignment to the classification term "NEURAL_NETWORK_DECORATOR_CLASSIFICATION". |
| : : description | Free text to describe the neural network. |
| : : filing | File path to the actual model of the neural network saved as an .xml file. |
| : : search terms | Maintenance of the search terms under which a neural network is to be found. |
| : input data | List of input fields for the neural network. If these are filled in and the "Apply" button is pressed, the model determines the most probable values for the output data, which are displayed in the group to the right. |
| : Output data | List of output values determined by the model. The hit rate for the value is displayed directly to the right; the button next to it can be used to display the list of possible other values sorted by hit rate for each value. |
| Features | |
| : list | List of characteristics for further description of the neural network. |
| : : Create | Create new feature. |
| : : Insert | Insert existing feature. |
| : : Remove | Remove feature from the list. |
| Button | Description |
|---|---|
| Action | - |
| : Back | The app is closed. |
| : Delete | The displayed neural network is deleted. |
| : New | The input window is cleared. |
| : Save | Changes to the neural network are saved. |
List window
This window is used to list the neural networks stored in the system.
| Menu item | Description |
|---|---|
| Edit | - |
| : Reset | Reset list: The list and search fields are cleared. |
| Options | Call up options window |
| Icon | Description |
|---|---|
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Perform multiple search: All fields marked in blue are included in this search. With the multiple search it is possible to search for several criteria at the same time. |
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Reset list: The list and search fields are cleared. |
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Create new neural network |
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Edit neural network |
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Delete neural network |
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Create/edit notes |
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Display operations |
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Set validity |
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Copy all objects to the clipboard |
| Field | Description |
|---|---|
| Number | Unique number of the neural network. |
| Search term | Text search for a neural network. |
| Classification | Search for neural network based on the assignment to a classification. |
| Button | Description |
|---|---|
| Filter | - |
| : classification | Filtering by order term |
| : Advanced search | Call up advanced search |
| Action | - |
| : Back | The app is closed. |
| : Delete | The selected neural network is deleted. |
| : New | An empty input window is opened. |
| : Edit | The current neural network is displayed in the input window. |
Selection window
This window is used to select neural networks.
| Field | Description |
|---|---|
| Number | Unique number of the neural network. |
| Search term | Text search for a neural network. |
| Classification | Search for neural network based on the assignment to a classification. |
| Button | Description |
|---|---|
| Filter | - |
| : classification | Filtering by order term |
| : Advanced search | Call up advanced search |
| Action | - |
| : Back | The app is closed. |
| : Select | Confirm selection |
Options window
All settings for the search can be made here.
| Menu item | Description |
|---|---|
| Edit | - |
| : Set default settings | all changed settings are reset to default |
| Field | Description |
|---|---|
| List options | |
| : Search options | - |
| : : Immediate takeover in case of a hit | If only one neural network is found during a search, this is opened in the input window. |
| : : Clear list before new search | The list is cleared before each new search |
| : : General search | Normal search Search terms from ... use yourself |
| : : Advanced search | So-called wildcards can be used for the search, such as the * or AND OR... Search terms of the other roles of the ... are taken into account |
| : validity | Validity |
| : : With exchange object | If an invalid object has a valid exchange object, only the valid exchange object is displayed (default). |
| : : Without exchange object | Possibly existing exchange objects are ignored, only the original object is listed. If this original object is invalid, it is only listed if the listing of invalid objects (selection: All objects) has been selected in the further option. |
| : : Only valid objects | Only valid objects are listed (default). |
| : : All objects | Valid and invalid objects are listed. |
| : Number of objects | Determines the maximum number of objects displayed in the list during a search. |
| : : All objects | All objects found are listed |
| : : Number of objects | The number of listed objects can be specified manually. |
| : : 100 objects | Only a maximum of 100 objects are output in the list |
| Default settings | |
| : Global presets | Global presets can be saved for the client and the cost centre. These are displayed here as well as the current default options that each module has. To create a global preset, a user preset must first be saved. Right-clicking on this user setting and selecting the context menu item "Edit user-defined setting" opens an editing window for this setting, on which the assignment from employee / user to a client or cost centre can be changed. ("Level" button) |
| : User Preferences | Each user can save as many presettings as desired. The only thing to note is that if several settings are found, the first one found is used as the default setting. The name of the setting can be changed with a double click. |
| Button | Description |
|---|---|
| OK | The settings are saved and the window closes. |
Related topics
Technical documentation
Base module (provider)
Module name
cxNeuralNetwork.mod
Classes
CX_NEURAL_NETWORK
CX_NEURAL_NETWORK_DECORATOR
Editing module
Module name
neuralNetworkEdit.app
Classes
CX_NEURAL_NETWORK
CX_NEURAL_NETWORK_DECORATOR
Security
In addition to restricting access rights via the class and its data fields, the module can be restricted in its use via some of the received messages.
| Message | Parameter | Function | Security |
|---|---|---|---|
| EDIT_NEURAL_NETWORK |
| Message | Parameters | Function | Receive module |
|---|---|---|---|
| NEURAL_NETWORK_CHANGED | |||
| NEURAL_NETWORK_DELETED |
Selection module
Module name
neuralNetworkSelect.app
Classes
CX_NEURAL_NETWORK
CX_NEURAL_NETWORK_DECORATOR
Security
In addition to restricting access rights via the class and its data fields, the module can be restricted in its use via some of the received messages.
| Message | Parameter | Function | Security |
|---|---|---|---|
| SELECT_NEURAL_NETWORK |
| Message | Parameters | Function | Receive module |
|---|---|---|---|
| NEURAL_NETWORK_SELECTED |
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