The ANN representing the inverse map from 6-dimesional limb kinematics to 3-dimensional motor control sequences (Equation 3 ) has 3 layers (input, hidden, and output layers) with 6, 15, and 3 nodes, respectively. The transfer functions for all nodes were selected as the hyperbolic tangent sigmoid function (with a scaling for the output layer to keep it in the range of the outputs). The performance function was selected as MSE. Levenberg-Marquardt backpropagation technique was used to train the ANN and weights and biases were initialized according to the according to the Nguyen-Widrow initialization algorithm. Generating and training ANNs were performed using MATLAB’s Neural Network ToolBox (MathWorks, Inc., Natick, MA; see MATLAB’s Deep Learning Toolbox—formerly known as Neural Network toolbox—documentation for more details).
Matlab s neural network toolbox
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The Neural Network Toolbox in MATLAB provides a comprehensive set of tools for designing, implementing, visualizing, and simulating neural networks. It includes a wide range of neural network architectures, training algorithms, and analysis tools, allowing users to develop and deploy neural network models for a variety of applications.
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2 protocols using matlab s neural network toolbox
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Inverse Limb Kinematics to Motor Control
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Inverse Limb Kinematics to Motor Control
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The ANN representing the inverse map from 6-dimesional limb kinematics to 3-dimensional motor control sequences (Equation 3 ) has 3 layers (input, hidden, and output layers) with 6, 15, and 3 nodes, respectively. The transfer functions for all nodes were selected as the hyperbolic tangent sigmoid function (with a scaling for the output layer to keep it in the range of the outputs). The performance function was selected as MSE. Levenberg-Marquardt backpropagation technique was used to train the ANN and weights and biases were initialized according to the according to the Nguyen-Widrow initialization algorithm. Generating and training ANNs were performed using MATLAB’s Neural Network ToolBox (MathWorks, Inc., Natick, MA; see MATLAB’s Deep Learning Toolbox—formerly known as Neural Network toolbox—documentation for more details).
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