Evolving Neural Networks Using Particle Swarm Optimization

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Neural Networks

Neural networks are machine learning algorithms that learn how to use training examples to complete tasks. The algorithm mimics the behavior of our brains to learn patterns in data.

We have three main parts in a neural network: neurons, layers, and backpropagation. Here's a neural network with 1 layer and 3 neurons:
Neural network with 1 layer of 3 neurons
In this picture, we have a neural network with one layer and 3 neurons. A neural network takes data from the input layer and transforms the data according to a defined structure. Each of these arrows and neurons represents an operation in the network. Usually&#x

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