getModelArchitectureName

Returns a human-readable string describing the neural network architecture.

This method provides a concise architectural specification using standard neural network notation that clearly identifies the layer structure and neuron counts.

Format: "MLP(InputSize×HiddenSize×OutputSize)"

• MLP: Multi-Layer Perceptron architecture type

• Dimensions: Layer sizes separated by multiplication symbols

• Example: "MLP(4×8×3)" represents 4 input, 8 hidden, 3 output neurons

Use Cases:

• Model identification in logs and analytics

• Architecture comparison and selection

• Documentation and debugging support

• Performance benchmarking categorization

Implementation Notes:

• Uses compile-time constants for consistent reporting

• Standard notation compatible with ML literature

• Immutable after engine initialization

See also