Conway's game of life is a cellular automaton that follows simple rules to simulate the behavior of cells in a 2D grid. In this game, each cell can either be alive or dead, and its state depends on the surrounding cells. The game progresses in generations, where each generation updates the state of each cell based on the state of its neighbors.
Neural networks can be used to learn the rules of the game and predict the state of each cell in the next generation. Here is an overview of how to implement a neural network for Conway's game of life in MATLAB:
Preprocessing
Building the neural network
train
function in MATLAB's Neural Network Toolbox.Prediction
Here is some sample code to get you started:
main.m1027 chars26 lines
Note: This is just a basic example and the performance of the neural network can be improved by tuning the hyperparameters and using more advanced techniques such as convolutional neural networks.
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