Plugin : ANN

Rate

• Learning rate.

Momentum

• Momentum factor.

Input variables

• Input variables for Input layer like "A","B"

Hidden layer

• Node count of Hidden layer.

Output variables

• Output variables for Output layer like "O"

Define

Action:Define learning rate and momentum factor

• Set learning rate and momentum factor.
• Rate ( number ) : Learning rate
• Moment ( number ) : Momentum factor

Define: hidden layer

Action:Define hidden node count

• Define node count of hidden layer.
• Node count ( number ) : Node count of hidden layer

Define: input

Action:Define inputs

• Define input variables by name.
• Input {n} ( variadic ) : Name of input variables.

Action:Define inputs by dictionary

• Define input variables by the keys of dictionary.
• Dictionary ( object ) : Dictionary object

Define: output

Action:Define outputs

• Define outputs variables by name.
• Output {n} ( variadic ) : Name of output variables.

Action:Define outputs by dictionary

• Define outputs variables by the keys of dictionary.
• Dictionary ( object ) : Dictionary object

Input

Action:Set input

• Set input value.
• Name ( number or string ) : Name of input variable
• Value ( number ) : Value of input variable

JSON

Action:Load

• Load from an ANN previously encoded in JSON format.
• JSON ( string ) : A string of the JSON data to load.

Recall

Action:Recall

• Recall by current inputs, get output from "expression:Output".

Reset

Action:Reset

• Reset weights

Target

Action:Set target

• Set target output value for learning.
• Name ( number or string ) : Name of output variable
• Value ( number ) : Value of output variable

Train

Action:Train

• Train by current inputs and outputs to adjust the weights.

Input

Expression:Input

• Get input value.
• Input ( string ) : Input name.

JSON

Expression:AsJSON

• Return the contents of the ANN in JSON format.

Recall

Expression:Output

• Get output value.
• Output ( string ) : Output name.

Train

Expression:TrainErr

• Get error result of training.