Training of a Neural Network for learning a model of joint transformations

Schilling M, Dürr V (2018)
Bielefeld University.

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Abstract / Bemerkung
The data contains joint angle data from walking stick insects. It provides matching sets of two neighboring legs that lead these two legs towards the same position in space. During climbing through twigs insects exploit the information on footholds between these neighboring legs. This requires transformations that mediate between the legs, in order to guide one leg to the position of the other leg. Here, different neural network architectures are learned and compared. The neural networks are realized in the keras framework. The python scripts compare different neural network architectures (different size of hidden layer or introducing skip connections) evaluating the Mean Squared error. Recent versions can be found at: https://github.com/malteschilling/joint_mappings_nn
Stichworte
transformation; neural network; locomotion
Erscheinungsjahr
2018
Page URI
https://pub.uni-bielefeld.de/record/2932236

Zitieren

Schilling M, Dürr V. Training of a Neural Network for learning a model of joint transformations. Bielefeld University; 2018.
Schilling, M., & Dürr, V. (2018). Training of a Neural Network for learning a model of joint transformations. Bielefeld University. doi:10.4119/unibi/2932236
Schilling, M., and Dürr, V. (2018). Training of a Neural Network for learning a model of joint transformations. Bielefeld University.
Schilling, M., & Dürr, V., 2018. Training of a Neural Network for learning a model of joint transformations, Bielefeld University.
M. Schilling and V. Dürr, Training of a Neural Network for learning a model of joint transformations, Bielefeld University, 2018.
Schilling, M., Dürr, V.: Training of a Neural Network for learning a model of joint transformations. Bielefeld University (2018).
Schilling, Malte, and Dürr, Volker. Training of a Neural Network for learning a model of joint transformations. Bielefeld University, 2018.
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2019-09-06T09:19:03Z
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