Struct Nn 

pub struct Nn {
    pub id: Arc<str>,
    pub synaptic_weights: DVector<f32>,
    pub bias: f32,
    pub inputs: Vec<String>,
    pub activation_level: f32,
    pub tau: f32,
    pub learning_threshold: f32,
    pub learning_rate: f32,
    pub tanh_alpha: f32,
    pub neuron_type: NeuronType,
}

Fields

• synaptic_weights - A vector of synaptic weights.
• bias - A synaptic bias for the neuron.
• inputs - A list of input neurons.
• activation_level - The neuron’s activation level.
• tau - The neuron’s time constant.
• learning_threshold - The neuron’s learning threshold.
• learning_rate - The neuron’s learning rate.
• tanh_alpha - The neuron’s hyperbolic tangent alpha parameter.
• neuron_type - The type of the neuron: Input, Output, or Hidden.

Example

// code example here

Fields

id: Arc<str>

synaptic_weights: DVector<f32>

bias: f32

inputs: Vec<String>

activation_level: f32

tau: f32

learning_threshold: f32

learning_rate: f32

tanh_alpha: f32

neuron_type: NeuronType

Implementations

impl Nn

pub fn propagate(&mut self, input: f32)

Propagates the input through the neuron to compute the next state.

Arguments

• input -f32

pub fn output_value(&self) -> f32

Returns the output value of the neuron.

Returns

The output value as a floating-point number.

pub fn mutate<R: Rng>(&mut self, rng: &mut R, epsilon: f32, sd: f32)

Performs mutation on the neuron

Arguments

• rng - thread_rng
• epsilon - mutation rate
• sd - the standard deviation of a normal distribution used to sample changes

Trait Implementations

impl Clone for Nn

fn clone(&self) -> Nn

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Nn

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

Formats the value using the given formatter.

impl From<Arc<NeuronalEneCode<'_>>> for Nn

fn from(ene: Arc<NeuronalEneCode<'_>>) -> Self

Converts to this type from the input type.