Authors :
Dr. T. Ramaswamy; Y. Pranati; C. V. Sindhu Lahari; S. Sanjana
Volume/Issue :
Volume 7 - 2022, Issue 3 - March
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3jBrDPe
DOI :
https://doi.org/10.5281/zenodo.6458382
Abstract :
The paper is a demonstration of using the
NEAT algorithm to allow artificial neural networks to
evolve througha genetic algorithm to play the game of
Flappy Bird. So it builds a most optimal network by itself
by adding nodes or connections, or changing the weights
of the connections, or enabling or disabling certain
connections as and when required to accomplish the task
at hand i.e the game of FlappyBird. We provide the inputs
to the algorithm so as to create anoptimal neural network
that completes the task, in our case thegame of Flappy
bird.
Keywords :
NEAT Algorithm, Artificial Neural Networks, Genetic Algorithm.
The paper is a demonstration of using the
NEAT algorithm to allow artificial neural networks to
evolve througha genetic algorithm to play the game of
Flappy Bird. So it builds a most optimal network by itself
by adding nodes or connections, or changing the weights
of the connections, or enabling or disabling certain
connections as and when required to accomplish the task
at hand i.e the game of FlappyBird. We provide the inputs
to the algorithm so as to create anoptimal neural network
that completes the task, in our case thegame of Flappy
bird.
Keywords :
NEAT Algorithm, Artificial Neural Networks, Genetic Algorithm.
