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Basic Structures and Properties of Neural Network (3 main…
Basic Structures and Properties of
Neural Network
What is ANN
a type of artificial intelligence that attempts to imitate the way a human brain think.
using a digital model, in which all computations manipulate zeros and ones, a neural network works by creating connections between processing elements, the computer equivalent of neurons
How it works?
use a set of processing elements loosely analogous to neurons in the brain. These nodes are interconnected in a network that can then identify patterns in data as it is exposed to the data.
3 main criteria(Taxonomy)
properties of the neuron or cell (Threshold, and Activation Function)
architecture of the network or topology
learning mechanism or learning rule
(Weight Calculation)
What is bio-neuron?
bio-neuron contains
many dendrites to receive signals
an axon for outputting the result
a synapse between the axon and each dendrite for
signal exchange
works?
Signals (impulses) come into the dendrites through the
synapses and summed up them.
When the sum is larger than a threshold, the neuron fires, and sends out an impulse signal to other neurons through the axon.
Artificial Neuron Model
transmission of a signal from one neuron to another through synapses is a complex chemical process in which specific transmitter substances are released from the sending side of the junction.