# Quantum Neural Network Essay

1014 Words 5 Pages
Chapter 1
Quantum Neural Network

1.1 Introduction and Background
The eld of arti cial neural networks (ANNs) draws its inspiration from the working of human brain and the way brain processes information. An ANN is a directed graph with highly interconnected nodes called neurons.Each edge of the graph has a weight associated with it to model the synaptic eciency. The training process involves updating the weights of the network in such a way that the network learns to solve the problem.
The neurons in the network work together to solve speci c problems.
The network can be trained to do various tasks like pattern recognition, data classi cation,function approximation etc. ANNs are widely used in the elds of computer vision
Chapter 1
Quantum Neural Network

1.1 Introduction and Background
The eld of arti cial neural networks (ANNs) draws its inspiration from the working of human brain and the way brain processes information. An ANN is a directed graph with highly interconnected nodes called neurons.Each edge of the graph has a weight associated with it to model the synaptic eciency. The training process involves updating the weights of the network in such a way that the network learns to solve the problem.
The neurons in the network work together to solve speci c problems.
The network can be trained to do various tasks like pattern recognition, data classi cation,function approximation etc. ANNs are widely used in the elds of computer vision and speech recognition.
1.1.1 Architecture of an Arti cial Neural Network
1.1.2 Backpropagation
Learning is the way we acquire knowledge about the world around us, and it is through this process of knowledge acquisition, that the environment alters our behavioural responses. Similarly, in arti cial neural networks, learning rules are used, to modify the behaviour of the network in response to the external stimuli (inputs).
For multilayered feedforward networks, a commonly used algorithm for weight adjustment is the backpropagation algorithm. There is some math
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2 CHAPTER 1. QUANTUM NEURAL NETWORK
Figure 1.1: feedforward multilayer ANN involved in the derivation of the formula which can be referred to from [4].
The nal form of