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Evolution and Architecture Components for Advanced Fusion Intelligence
This module contains all evolution and neural architecture related structures and implementations for the advanced fusion intelligence system, including evolutionary algorithms, architecture evolution, and genetic operations.
Structs§
- Architecture
- Neural network architecture configuration
- Connection
Config - Configuration for layer connections
- Crossover
Operator - Crossover operator for evolutionary algorithms
- Evolution
Engine - Engine for evolving neural architectures
- Fitness
Evaluator - Fitness evaluator for evolutionary algorithms
- Layer
Config - Configuration for individual network layer
- Mutation
Operator - Mutation operator for evolutionary algorithms
Enums§
- Activation
Function - Activation functions for neural networks
- Connection
Type - Types of neural network connections
- Crossover
Type - Types of crossover operations
- Evaluation
Function - Evaluation function types
- Layer
Type - Types of neural network layers
- Mutation
Type - Types of mutations for evolutionary algorithms
- Normalization
Strategy - Normalization strategies
- Selection
Strategy - Strategies for evolutionary selection