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The algorithm also optimises the learning process by using an efficient, fast data clustering algorithm to reduce the training pattern search space.
The result of verification conducted based on this optimum is added as a new sample into the training pattern set to retrain the BPNN model.
Suppose we have a training set {x i,y i } where x i is the training pattern and y i the label.
By measuring the force or EMG signal, it is possible for the robot to perceive the voluntary effort of the patient and to adjust the training pattern accordingly in order to actuate the participation of the patient [10],[10].
The quality of the weld can be verified when the training pattern fulfills the requirement for the accepted ranges of WPSF (penetration shape factor) = W/P and WRFF (reinforcement form factor) = W/R.
Multilayer perceptron (MLP) memorizes the training pattern, and therefore, it cannot generalize the new inputs; that leads network to an error state for fresh data; although it is small for the training set.
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In the training phase, the 9-d feature vectors are extracted from the training patterns.
First, a Bayesian mixture model is developed based on the training patterns.
Using image statistics and application of predefined filters to the training patterns, 2.
Pattern training perspective: In general, for most machine learning techniques, the more the training patterns are, the higher the accuracy rate of learning results is.
The number of support vectors learned by the SVM classifier is equal to approximately half of the training patterns.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com