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Updated: Jan 23, 2026

Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling
1Department of Electrical Engineering, University of Queensland, Queensland 4072, Australia.
Abstract:
A new neural network architecture involving either local feedforward global feedforward, and/or local recurrent global feedforward structure is proposed. A learning rule minimizing a mean square error criterion is derived. The performance of this algorithm (local recurrent global feedforward architecture) is compared with a local-feedforward global-feedforward architecture. It is shown that the local-recurrent global-feedforward model performs better than the local-feedforward global-feedforward model.
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