GitHub / aika-algorithm / aika-java
AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector operations. The AIKA Project introduces a flexible, sparse, and non-layered network representation, derived from a type hierarchy.
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PURL: pkg:github/aika-algorithm/aika-java
Stars: 77
Forks: 20
Open issues: 5
License: apache-2.0
Language: Java
Size: 12.9 MB
Dependencies parsed at: Pending
Created at: about 8 years ago
Updated at: 3 months ago
Pushed at: 6 months ago
Last synced at: 3 months ago
Topics: aika-network, artificial-neural-network, binding-problem, binding-signal, information-gain, neural-symbolic, neural-symbolic-paradigm, neural-symbolic-reasoning, neuro-symbolic, neuro-symbolic-learning