Struct BifurcationPredictionNetwork 

pub struct BifurcationPredictionNetwork {
    pub architecture: NetworkArchitecture,
    pub model_parameters: ModelParameters,
    pub training_config: TrainingConfiguration,
    pub feature_extraction: FeatureExtraction,
    pub performance_metrics: PerformanceMetrics,
    pub uncertainty_quantification: UncertaintyQuantification,
}

Neural network for bifurcation classification and prediction

Fields

architecture: NetworkArchitecture

Network architecture specification

model_parameters: ModelParameters

Trained model weights and biases

training_config: TrainingConfiguration

Training configuration

feature_extraction: FeatureExtraction

Feature extraction settings

performance_metrics: PerformanceMetrics

Model performance metrics

uncertainty_quantification: UncertaintyQuantification

Uncertainty quantification

Implementations

impl BifurcationPredictionNetwork

pub fn new( input_size: usize, hidden_layers: Vec<usize>, output_size: usize, ) -> Self

Create a new bifurcation prediction network

pub fn forward(&self, input: &Array1<f64>) -> IntegrateResult<Array1<f64>>

Forward pass through the network

pub fn train( &mut self, training_data: &[(Array1<f64>, Array1<f64>)], validation_data: Option<&[(Array1<f64>, Array1<f64>)]>, ) -> IntegrateResult<()>

Train the network on bifurcation data

pub fn evaluate( &self, test_data: &[(Array1<f64>, Array1<f64>)], ) -> IntegrateResult<f64>

Evaluate model performance

pub fn predict_bifurcation( &self, features: &Array1<f64>, ) -> IntegrateResult<BifurcationPrediction>

Predict bifurcation type and location

Trait Implementations

impl Clone for BifurcationPredictionNetwork

fn clone(&self) -> BifurcationPredictionNetwork

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for BifurcationPredictionNetwork

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.