@ralphschuler.neuronal network.Neuron

Class: Neuron<T>

@ralphschuler/neuronal-network.Neuron

Type parameters

Name
T

Table of contents

Constructors

• constructor

Properties

• bias
• incomingConnections
• outgoingConnections

Methods

• activate
• connect
• propagate
• toObject

Constructors

constructor

• new Neuron<T>(bias): Neuron<T>

Type parameters

Name
T

Parameters

Name	Type
bias	number

Returns

Neuron<T>

Defined in

index.ts:11

Properties

bias

• Private bias: number

Defined in

index.ts:9

---

incomingConnections

• Private incomingConnections: Connection<T>[] = []

Defined in

index.ts:7

---

outgoingConnections

• Private outgoingConnections: Connection<T>[] = []

Defined in

index.ts:8

Methods

activate

▸ activate(input): T

Parameters

Name	Type
input	T

Returns

T

Defined in

index.ts:20

---

connect

▸ connect(neuron, weight): void

Parameters

Name	Type
neuron	Neuron<T>
weight	number

Returns

void

Defined in

index.ts:15

---

propagate

▸ propagate(error): void

Parameters

Name	Type
error	T

Returns

void

Defined in

index.ts:28

---

toObject

▸ toObject(): object

Returns

object

Defined in

index.ts:34