Question

What is artificial neural network and discuss it's features?

Answer 1

Its just a network of biological neurons that are functionally connected to the central nervous system of living organisms(mostly).

An ANN is composed of artificial neurons or nodes connected to form a network which is basically uses a mathematically or a computational model for processing the information. It is capable of changing its structure depending on the information transmitted through the system.


Some behavioral characteristics of ANNs are
1. Association
2. Categorization
3.Feature Extraction
4. Generalisation
5. Optimization
The architectures are Multi-layered feed-forward network(uses backprop),Radial-basis function networks,recurrent network ,General Regression neural network(variation to RBF),Support vector machines etc.

Answer 2

Answer:

Computer systems called artificial neural networks (ANNs) are modelled after the biological neural networks seen in animal brains.

Explanation:

• Artificial neurons, which are a set of interconnected units or nodes that loosely resemble the neurons in a biological brain, are the foundation of an ANN.
• Like the synapses in a human brain, each link has the ability to send a signal to neighbouring neurons.
• An artificial neuron can signal neurons that are connected to it after processing signals that are sent to it.
• The output of each neuron is calculated by some non-linear function of the sum of its inputs, and the "signal" at a connection is a real number.
• Edges refer to the connections. The weight of neurons and edges often changes as learning progresses.

In order for the computer to learn things and make decisions in a way that is similar to that of a human, artificial neural networks are attempts to replicate the network of neurons that make up the human brain.

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