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In these architectures an unsupervised learning algorithm, such as the k-means algorithm, decomposes the overall task and a supervised learning algorithm, such as one based on gradient descent, solves each subtask.
It can converge beyond local optimal solutions, which is one of the main drawbacks of some neural network training algorithms based on gradient descent when applied to highly redundant robot morphologies.
A new algorithm based on gradient descent is used.
An algorithm is developed based on gradient descent using L2-norm regularization techniques.
We will use the representation learning techniques including word embeddings and compositional vector models, and apply a back-propagation algorithm based on gradient descent to learn the model.
The neural networks are based on gradient descent and exact penalization and the convergence analysis is based on a control Liapunov function analysis, since the dynamical system corresponding to each neural network may be viewed as a so-called variable structure closed loop control system.
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Other accelerations can be achieved using local searches that are based on gradient-descent algorithms able to handle small target displacements and geometrical changes.
However, as long as the iterative method is based on the gradient descent and the variable follows the direction of the gradient using an optimized step size, a convergence towards a local optimum is guaranteed.
The geometry was then optimized based on a gradient descent algorithm that changed each individual electrode width.
The controller gain factors of the PID controller can automatically tune based on the gradient descent method.
The learning procedure is based on a gradient descent technique and the proposed model is general enough to be applied to other neuro-fuzzy architectures.
More suggestions(19)
based on vertical descent
based on gradient spin
based on gradient norm
based on gradient optimization
based on gradient echo
based on gradient magnitude
based on gradient change
based on gradient domain
based on gradient centrifugation
based on gradient elution
based on gradient index
based on genealogical descent
based on gradient information
based on gradient fractionation
based on gradient direction
based on gradient projection
based on gradient algorithm
based on common descent
based on gradient iteration
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