What is complex-valued neural network?

What is complex-valued neural network?

Complex-valued neural networks (CVNN) are ANNs that process information using complex-valued parameters and variables [4]. The main reason for their advocacy lies in the difference between the representation of the arithmetic of complex numbers, especially the multiplication operation.

What are the principles of neural networks?

Based on the block diagram and function of the neural network, three basic elements of neural model can be identified: Synapses, or connecting links, have a weight or strength where the input signal xi connected to neuron k is multiplied by synaptic weight wwki. An adder for summing the weighted inputs.

What is the working principle of artificial neural network?

The Artificial Neural Network receives the input signal from the external world in the form of a pattern and image in the form of a vector. These inputs are then mathematically designated by the notations x(n) for every n number of inputs.

How does artificial neural network algorithm work?

The working mechanism of Artificial Neural Network Artificial Neural Networks work in a way similar to that of their biological inspiration. They can be considered as weighted directed graphs where the neurons could be compared to the nodes and the connection between two neurons as weighted edges.

What are the advantages of neural networks over conventional computers?

What are the advantages of neural networks over conventional computers? Explanation: Neural networks learn by example. They are more fault tolerant because they are always able to respond and small changes in input do not normally cause a change in output.

Which of the following is complex functions with many parameter in neural networks?

5. Neural Networks are complex ______________ with many parameters. Explanation: Neural networks are complex linear functions with many parameters.