Millat College Hasilpur
Artificial neural network
Topic
Artificial Neural Network
Artificial Neural Network Tutorial provides basic and advanced concepts of ANNs. Our Artificial
Neural Network tutorial is developed for beginners as well as professions.
The term "Artificial neural network" refers to a biologically inspired sub-field of artificial
intelligence modeled after the brain. An Artificial neural network is usually a computational
network based on biological neural networks that construct the structure of the human brain.
Like a human brain having neurons interconnected to each other, artificial neural networks
also have neurons that are linked to each other in various layers of the networks. These
neurons are known as nodes.
Artificial neural network tutorial covers all the aspects related to the artificial neural network.
In this tutorial, we will discuss ANNs, Adaptive resonance theory, Kohonen self-organizing
map, Building blocks, unsupervised learning, Genetic algorithm, etc.
What is Artificial Neural Network?
The term "Artificial Neural Network" is derived from Biological neural networks that develop the
structure of a human brain. Like the human brain that has neurons interconnected to one another, artificial
neural networks also have neurons that are interconnected to one another in various layers of the
networks. These neurons are known as nodes.
, The given figure illustrates the typical diagram of Biological Neural Network.
The typical Artificial Neural Network looks something like the given figure.
Dendrites from Biological Neural Network represent inputs in Artificial Neural Networks, cell nucleus
represents Nodes, synapse represents Weights, and Axon represents Output.
Relationship between Biological neural network and artificial neural network:
Biological Neural Network Artificial Neural Network
Dendrites Inputs
Cell nucleus Nodes
Synapse Weights
Axon Output
An Artificial Neural Network in the field of Artificial intelligence where it attempts to mimic the
network of neurons makes up a human brain so that computers will have an option to understand things
and make decisions in a human-like manner. The artificial neural network is designed by programming
computers to behave simply like interconnected brain cells.
Artificial neural network
Topic
Artificial Neural Network
Artificial Neural Network Tutorial provides basic and advanced concepts of ANNs. Our Artificial
Neural Network tutorial is developed for beginners as well as professions.
The term "Artificial neural network" refers to a biologically inspired sub-field of artificial
intelligence modeled after the brain. An Artificial neural network is usually a computational
network based on biological neural networks that construct the structure of the human brain.
Like a human brain having neurons interconnected to each other, artificial neural networks
also have neurons that are linked to each other in various layers of the networks. These
neurons are known as nodes.
Artificial neural network tutorial covers all the aspects related to the artificial neural network.
In this tutorial, we will discuss ANNs, Adaptive resonance theory, Kohonen self-organizing
map, Building blocks, unsupervised learning, Genetic algorithm, etc.
What is Artificial Neural Network?
The term "Artificial Neural Network" is derived from Biological neural networks that develop the
structure of a human brain. Like the human brain that has neurons interconnected to one another, artificial
neural networks also have neurons that are interconnected to one another in various layers of the
networks. These neurons are known as nodes.
, The given figure illustrates the typical diagram of Biological Neural Network.
The typical Artificial Neural Network looks something like the given figure.
Dendrites from Biological Neural Network represent inputs in Artificial Neural Networks, cell nucleus
represents Nodes, synapse represents Weights, and Axon represents Output.
Relationship between Biological neural network and artificial neural network:
Biological Neural Network Artificial Neural Network
Dendrites Inputs
Cell nucleus Nodes
Synapse Weights
Axon Output
An Artificial Neural Network in the field of Artificial intelligence where it attempts to mimic the
network of neurons makes up a human brain so that computers will have an option to understand things
and make decisions in a human-like manner. The artificial neural network is designed by programming
computers to behave simply like interconnected brain cells.
