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DeltaRuleLearning Class |
Delta rule learning algorithm.
Inheritance HierarchySystemObject
Accord.Neuro.LearningDeltaRuleLearning
Accord.Neuro.LearningDeltaRuleLearning
Namespace: Accord.Neuro.Learning
Assembly: Accord.Neuro (in Accord.Neuro.dll) Version: 3.8.0
SyntaxThe DeltaRuleLearning type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | DeltaRuleLearning |
Initializes a new instance of the DeltaRuleLearning class.
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Properties| Name | Description | |
|---|---|---|
 | LearningRate |
Learning rate, [0, 1].
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Methods| Name | Description | |
|---|---|---|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| Run |
Runs learning iteration.
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| RunEpoch |
Runs learning epoch.
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| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Extension Methods| Name | Description | |
|---|---|---|
 | HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) |
| IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) |
| To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
| ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
RemarksThis learning algorithm is used to train one layer neural network of Activation Neurons with continuous activation function, see SigmoidFunction for example.
See information about delta rule learning algorithm.
See Also