1. Introduction
Artificial neural networks are inspired by the workings of the brain, in particular biological neurons, whose schematic diagram is shown in figure 1 . Neurons receive signals (electrical impulses) via dendrites (input) and send information via axons (output). Contacts between two neurons (between axon and dendrite) are made via synapses. Signaling is not linear, but follows a threshold effect. This biological neuron can easily be compared to the artificial neuron shown in figure 3 .
Exclusive to subscribers. 97% yet to be discovered!
You do not have access to this resource.
Click here to request your free trial access!
Already subscribed? Log in!
The Ultimate Scientific and Technical Reference
This article is included in
Software technologies and System architectures
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Introduction
Bibliography
Exclusive to subscribers. 97% yet to be discovered!
You do not have access to this resource.
Click here to request your free trial access!
Already subscribed? Log in!
The Ultimate Scientific and Technical Reference