Neuron class

The Neuron class represents a single neuron in a neural network, encapsulating its value, name, input and output edges, error, and old value.

This class is essential for managing the state and connections of neurons in neural networks, particularly in machine learning models and algorithms such as feedforward neural networks and backpropagation.

Properties:

• double? value: The current value of the neuron.
• String? name: The name or identifier of the neuron.
• List
• List
• double? error: The computed error value of the neuron.
• double? oldValue: The previous value of the neuron.

Constructors

Neuron({double? value, String? name, List<Edge>? inputEdges, List<Edge>? outputEdges, double? error, double? oldValue})

Properties

error ↔ double?

getter/setter pair

hashCode → int

The hash code for this object.

no setter, inherited

inputEdges ↔ List<Edge>?

getter/setter pair

name ↔ String?

getter/setter pair

oldValue ↔ double?

getter/setter pair

outputEdges ↔ List<Edge>?

getter/setter pair

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

value ↔ double?

getter/setter pair

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited