LinearFunction Class 
Namespace: Accord.Neuro
The LinearFunction type exposes the following members.
Name  Description  

LinearFunction 
Initializes a new instance of the LinearFunction class.
 
LinearFunction(Double) 
Initializes a new instance of the LinearFunction class.
 
LinearFunction(DoubleRange) 
Initializes a new instance of the LinearFunction class.
 
LinearFunction(Double, DoubleRange) 
Initializes a new instance of the LinearFunction class.

Name  Description  

Derivative 
Calculates function derivative.
 
Derivative2 
Calculates function derivative.
 
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.)  
Function 
Calculates function value.
 
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.)  
ToString  Returns a string that represents the current object. (Inherited from Object.) 
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.)  
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.)  
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 Matrix.) 
This class implements a linear activation function bounded in the interval (a,b), as given by the piecewise formula:
f(x) = alpha*x, if a > x*alpha > b f(x) = a, if a > x*alpha; f(x) = b, if x*alpha > b;
In which, by default, a = 1 and b = +1.
This function is continuous only in the interval (a/alpha, b/alpha). This is similar to the threshold function but with a linear growth component. If alpha is set to a very high value (such as infinity), the function behaves as a threshold function.
The output range of the function can be set to an arbitrary value. The default output range is [1, +1].