Summarize papers about analog or hybrid artificial neural networks?
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Analog and hybrid artificial neural networks have gained attention in recent research. Park et al. propose a low power analog and digital hybrid MAC circuit for artificial neural networks, which supports multiple MAC operations and provides advantages in developing hardware accelerators . Zhang and Fleyeh review the application of hybrid neural network models for electricity price forecasting, highlighting the advantages of combining multiple algorithms to handle complexity and non-linearity . Nedjah et al. focus on analog implementations of ANNs, highlighting their simplicity and precision compared to digital implementations . Gutiérrez and Hervás-Martínez provide a review of hybrid ANNs from the perspectives of models, algorithms, and data . Pagariya and Bartere introduce artificial neural networks, discussing their types, benefits, historical background, and mathematical models .
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08 Jun 2011 | The provided paper discusses hybrid artificial neural networks from the perspectives of models, algorithms, and data. It mentions the use of evolutionary algorithms for training and evolving ANNs, as well as the hybridization of ANNs with other simpler models such as logistic regression and extreme learning machines. However, it does not specifically mention analog artificial neural networks. |
| The provided paper does not mention anything about analog or hybrid artificial neural networks. | |
6 Citations | The paper discusses analog implementations of artificial neural networks, focusing on the use of simple operational amplifiers for neurons and the possibility of both negative and positive synaptic weights. It does not mention hybrid implementations. |
01 Jan 2019 5 Citations | The provided paper discusses a low power analog and digital hybrid MAC circuit for artificial neural networks, which supports multiple MAC operations and provides advantages in developing hardware accelerators. |
01 Sep 2019 2 Citations | The paper reviews recent applications of hybrid neural network models for electricity price forecasting, but it does not mention anything about analog neural networks. |
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