End effector target position learning using feedforward with error back-propagation and recurrent neural networks

By J. Zurada. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stefan Harrer
2. Bhavna Josephine Antony
3. Pratik Shah
4. Jianying Hu
5. Wei Zhang
6. James L. Cross

Citations in the corpus

• Artificial Intelligence for Clinical Trial Design. (2019, background): “The field of biomedicine has also benefited from this surge in AI methods at many levels, from sophisticated natural language processing (NLP) searches of the biomedical literature [55], to cancer sub-phenotyping using DL [56], to predictions of gene targets of microRNAs [57], drug–target interactio”