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mutation-based

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doudol / VanceNet-Research

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VanceNet is a neural network that evolves patterns through mutation-based learning. Neurons adjust their weights and biases, generating complex outputs. The network evaluates these outputs based on entropy, fractal dimension, and complexity, refining patterns over time. It is designed for pattern recognition and complexity analysis.

learning machine-learning ai entropy neural-network analysis machine evaluation dimensions ml fractal neural-networks complexity eval neural pattern-generation mutation-based pattern-evolution vancenet
  • Updated Nov 28, 2024

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