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- Artificial_neuron abstract "An artificial neuron is a mathematical function conceived as a crude model, or abstraction of biological neurons. Artificial neurons are the constitutive units in an artificial neural network. Depending on the specific model used, it can receive different names, such as semi-linear unit, Nv neuron, binary neuron, linear threshold function or McCulloch–Pitts (MCP) neuron. The artificial neuron receives one or more inputs (representing the one or more dendrites) and sums them to produce an output (representing a biological neuron's axon). Usually the sums of each node are weighted, and the sum is passed through a non-linear function known as an activation function or transfer function. The transfer functions usually have a sigmoid shape, but they may also take the form of other non-linear functions, piecewise linear functions, or step functions. They are also often monotonically increasing, continuous, differentiable and bounded.The artificial neuron transfer function should not be confused with a linear system's transfer function.".
- Artificial_neuron thumbnail Artificial_neuron.png?width=300.
- Artificial_neuron wikiPageExternalLink e226802.
- Artificial_neuron wikiPageExternalLink modOverview.php?modGUI=212.
- Artificial_neuron wikiPageID "349771".
- Artificial_neuron wikiPageRevisionID "582689879".
- Artificial_neuron hasPhotoCollection Artificial_neuron.
- Artificial_neuron subject Category:American_inventions.
- Artificial_neuron subject Category:Neural_networks.
- Artificial_neuron type Ability105616246.
- Artificial_neuron type Abstraction100002137.
- Artificial_neuron type AmericanInventions.
- Artificial_neuron type Cognition100023271.
- Artificial_neuron type Communication100033020.
- Artificial_neuron type ComputerArchitecture106725249.
- Artificial_neuron type Creativity105624700.
- Artificial_neuron type Description106724763.
- Artificial_neuron type Invention105633385.
- Artificial_neuron type Message106598915.
- Artificial_neuron type NeuralNetwork106725467.
- Artificial_neuron type NeuralNetworks.
- Artificial_neuron type PsychologicalFeature100023100.
- Artificial_neuron type Specification106725067.
- Artificial_neuron type Statement106722453.
- Artificial_neuron comment "An artificial neuron is a mathematical function conceived as a crude model, or abstraction of biological neurons. Artificial neurons are the constitutive units in an artificial neural network. Depending on the specific model used, it can receive different names, such as semi-linear unit, Nv neuron, binary neuron, linear threshold function or McCulloch–Pitts (MCP) neuron.".
- Artificial_neuron label "Artificial neuron".
- Artificial_neuron label "Künstliches Neuron".
- Artificial_neuron label "Neuron McCullocha-Pittsa".
- Artificial_neuron label "Neurona de McCulloch-Pitts".
- Artificial_neuron label "Neurone formel".
- Artificial_neuron label "Neurônio artificial".
- Artificial_neuron label "Искусственный нейрон".
- Artificial_neuron label "人工神経".
- Artificial_neuron sameAs Künstliches_Neuron.
- Artificial_neuron sameAs Neurona_de_McCulloch-Pitts.
- Artificial_neuron sameAs Neurone_formel.
- Artificial_neuron sameAs 人工神経.
- Artificial_neuron sameAs 인공_뉴런.
- Artificial_neuron sameAs Neuron_McCullocha-Pittsa.
- Artificial_neuron sameAs Neurônio_artificial.
- Artificial_neuron sameAs m.01z3py.
- Artificial_neuron sameAs Q177058.
- Artificial_neuron sameAs Q177058.
- Artificial_neuron sameAs Artificial_neuron.
- Artificial_neuron wasDerivedFrom Artificial_neuron?oldid=582689879.
- Artificial_neuron depiction Artificial_neuron.png.
- Artificial_neuron isPrimaryTopicOf Artificial_neuron.
