Adjusting NN size
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ca3989421d
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1 changed files with 5 additions and 4 deletions
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@ -12,7 +12,7 @@ use std::collections::HashMap;
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const BASE_DIR: &str = "F:\\\\vandomej\\Projects\\dootcamp-AI-Simulation\\Simulations";
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const POPULATION: usize = 100;
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const NEURAL_NETWORK_SHAPE: &[u32; 3] = &[10, 10, 10];
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const NEURAL_NETWORK_SHAPE: &[u32; 5] = &[14, 20, 20, 12, 8];
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const SIMULATION_ROUNDS: usize = 10;
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const SURVIVAL_RATE: f32 = 0.5;
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@ -90,7 +90,7 @@ impl GeneticNode for FighterNN {
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let random_fann = Fann::from_file(&random_nn)
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.with_context(|| format!("Failed to load random nn"))?;
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let inputs: Vec<f32> = (0..10).map(|_| thread_rng().gen_range(-1.0..1.0)).collect();
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let inputs: Vec<f32> = (0..NEURAL_NETWORK_SHAPE[0]).map(|_| thread_rng().gen_range(-1.0..1.0)).collect();
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let outputs = fann.run(&inputs)
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.with_context(|| format!("Failed to run nn"))?;
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let random_outputs = random_fann.run(&inputs)
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@ -179,9 +179,10 @@ impl GeneticNode for FighterNN {
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for c in &mut connections {
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if thread_rng().gen_range(0..100) < 20 {
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c.weight += thread_rng().gen_range(-0.1..0.1);
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} else if thread_rng().gen_range(0..100) < 5 {
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c.weight += thread_rng().gen_range(-0.3..0.3);
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}
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// else if thread_rng().gen_range(0..100) < 5 {
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// c.weight += thread_rng().gen_range(-0.3..0.3);
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// }
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}
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fann.set_connections(&connections);
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