نتایج جستجو برای: weight update
تعداد نتایج: 417945 فیلتر نتایج به سال:
Pattern recognition is a major division of machine learning which focuses on learning the patterns and regularities in data. It differs to that of pattern matching where only exact matches are found. However in the field of DNA computing, molecular pattern recognition has not been well established due to the lack of control of molecules in liquid state, instability and inaccuracy to solve such ...
We construct a. family of symmet ric weight connect ion networks that take expon ential time to reach a stable configuration when th e sequential steepest descent update rule is used .
A control theoretic approach is presented in this paper for both batch and instantaneous updates of weights in feed-forward neural networks. The popular Hamilton-JacobiBellman (HJB) equation has been used to generate an optimal weight update law. The remarkable contribution in this paper is that closed form solutions for both optimal cost and weight update can be achieved for any feed-forward n...
The tracking accuracy of mean shift algorithm employing the Bhattacharyya coefficient as similarity metric is low. The reason is analyzed on the basis of effect identity of the histogram bins in the target model and the candidate. A novel weighting method which is derived from the enhanced histogram intersection is proposed. Several improvements are considered in the implementation of the algor...
Rapid shifts in the demographics and techniques of weight loss surgery (WLS) have led to new issues, new data, new concerns, and new challenges. In 2004, this journal published comprehensive evidence-based guidelines on WLS. In this issue, we've updated those guidelines to assure patient safety in this fast-changing field. WLS involves a uniquely vulnerable population in need of specialized res...
Typical neural-adaptive control approaches update neural-network weights as though they were adaptive parameters in a continuous-time adaptive control. However, requiring fast digital rates usually restricts the size of the neural network. In this paper we analyze a deltarule update for the weights, applied at a relatively slow digital rate. We show that digital weight update causes the neural ...
In this paper, we propose an economic model predictive control (MPC) framework with a self-tuning terminal weight, which builds on a recently proposed MPC algorithm with a generalized terminal state constraint. First, given a general time-varying terminal weight, we derive an upper bound on the closed-loop average performance which depends on the limit value of the predicted terminal state. Aft...
In [Barr & Kleisli 2001] we described ?-autonomous structures on two full subcategories of topological abelian groups. In this paper we do the same for sup semilattices except that uniform structures play the role that topology did in the earlier paper.
In this paper we give a lower bound for the strongly unique minimal projection (with norm one) constant (SUP-constant) onto some (n − k)-dimensional subspaces of l ∞ (n ≥ 3, 1 ≤ k ≤ n−1). By Proposition 1 of this paper, each k-dimensional Banach space with polytope unit ball with m (k − 1)-faces is isometrically isomorphic to a subspace of lk+m−1 ∞ . As such the aforementioned estimation can be...
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