An Improved Oscillating-Error Classifier with Branching
arXiv:1711.07042v34 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for researchers in error correction or neural network classifiers.
The paper tackles the problem of improving an oscillating error correction technique by extending the classifier design with a branching method, achieving high levels of accuracy as reported previously.
This paper extends the earlier work on an oscillating error correction technique. Specifically, it extends the design to include further corrections, by adding new layers to the classifier through a branching method. This technique is still consistent with earlier work and also neural networks in general. With this extended design, the classifier can now achieve the high levels of accuracy reported previously.