Name
Title | ||
|---|---|---|
Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. |
Abstract | ||
|---|---|---|
We present Modular Memory Units (MMUs), a new class of memory-augmented neural network. MMU builds on the gated neural architecture of Gated Recurrent Units (GRUs) and Long Short Term Memory (LSTMs), to incorporate an external memory block, similar to a Neural Turing Machine (NTM). MMU interacts with the memory block using independent read and write gates that serve to decouple the memory from the... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1162/evco_a_00239 | Evolutionary Computation |
Keywords | Field | DocType |
RNNS,memory-augmented neural networks,neuroevolution. | Architecture,Memory problems,Long short term memory,Artificial intelligence,Modular design,Artificial neural network,Neuroevolution,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 4 | 1063-6560 |
Citations | PageRank | References |
1 | 0.35 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shauharda Khadka | 1 | 7 | 2.51 |
| Jen Jen Chung | 2 | 21 | 9.92 |
| kagan tumer | 3 | 1632 | 168.61 |