Suchergebnisse - Deterministic annealing neural network algorithm

A Deterministic Annealing Neural Network Algorithm for the Minimum Concave Cost Transportation Problem von Wu, Zhengtian, Karimi, Hamid Reza, Dang, Chuangyin

“… In this article, a deterministic annealing neural network algorithm is proposed to solve the minimum concave cost transportation problem …”
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A more efficient deterministic annealing neural network algorithm for the max-bisection problem von Jiang, Shicong, Dang, Chuangyin

“… •Propose a deterministic annealing neural network algorithm by introducing a barrier function in square-root form …”
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An approximation algorithm for graph partitioning via deterministic annealing neural network von Wu, Zhengtian, Karimi, Hamid Reza, Dang, Chuangyin

“… In this study, an approximated solution of the graph partitioning problem is obtained by using a deterministic annealing neural network algorithm …”
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An approximation lagrangian-based algorithm for the maximum clique problem via deterministic annealing neural network von Dai, Jinyu, Wu, Zhengtian, Karimi, Hamid Reza, Jiang, Baoping, Lu, Guangquan

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Hyperspectral Target Detection via Co-Teaching Multiple Instance Neural Network with Deterministic Annealing Algorithm von Liu, Lirong, Jiao, Changzhe, Li, Jiaming, Chen, Chao

“… Furthermore, deterministic annealing (DA) algorithm is proposed to enhance the stability of the network during the training process. The experimental results on simulated data and real hyperspectral data demonstrate the advancement and robustness of the proposed method …”
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Deterministic annealing EM algorithm von Ueda, Naonori, Nakano, Ryohei

“… This paper presents a deterministic annealing EM (DAEM) algorithm for maximum likelihood estimation problems to overcome a local maxima problem associated with the conventional EM algorithm …”
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A deterministic annealing algorithm for the minimum concave cost network flow problem von Dang, Chuangyin, Sun, Yabin, Wang, Yuping, Yang, Yang

“… To handle both the single-source and the multiple-source problem in the same way, especially the problems with dense arcs, a deterministic annealing algorithm is proposed in this paper …”
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A deterministic annealing algorithm for approximating a solution of the min-bisection problem von Dang, Chuangyin, Ma, Wei, Liang, Jiye

“… The algorithm is derived from the introduction of a logarithmic-cosine barrier function, where the barrier parameter behaves as temperature in an annealing procedure and decreases from a sufficiently …”
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Neural Network Algorithm for the Knapsack Allocation Problem in Unmanned Systems von Wu, Zhengtian, Yu, Yaolong, Jiang, Baoping, Hu, Fuyuan

“… This paper introduces a deterministic annealing neural network (DANN) algorithm to tackle this issue …”
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A deterministic annealing algorithm for the minimum concave cost network flow problems von CHUANGYIN DANG, YABIN SUN, YUPING WANG, YANG YANG

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Approximating a solution of the s– t max-cut problem with a deterministic annealing algorithm von Dang, Chuangyin

“… The algorithm is derived from an application of a logarithmic barrier function, where the barrier parameter behaves as temperature in an annealing procedure and decreases to zero from a sufficiently …”
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A deterministic annealing algorithm for approximating a solution of the max-bisection problem von Dang, Chuangyin, He, Liping, Kee Hui, Ip

“… is formulated and a deterministic annealing algorithm is proposed for approximating its solution …”
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Online Deterministic Annealing for Classification and Clustering von Mavridis, Christos N., Baras, John S.

“… ) the complexity of the model, e.g., the number of neurons in a neural network; 2) the initial conditions, which heavily affect the behavior of the algorithm; and 3 …”
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Solving the production transportation problem via a deterministic annealing neural network method von Wu, Zhengtian, Gao, Qing, Jiang, Baoping, Karimi, Hamid Reza

“… •Develop a deterministic annealing neural network method based on Lagrange-barrier functions and two neural network models to solve the production transportation problem …”
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Annealing Optimization for Progressive Learning with Stochastic Approximation von Mavridis, Christos N., Baras, John S.

“… In this work, we introduce a learning model designed to meet the needs of applications in which computational resources are limited, and robustness and …”
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A deterministic annealing algorithm for approximating a solution of the linearly constrained nonconvex quadratic minimization problem von Dang, Chuangyin, Liang, Jianqing, Yang, Yang

“… A deterministic annealing algorithm is proposed for approximating a solution of the linearly constrained nonconvex quadratic minimization problem …”
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Maximum-Entropy Progressive State Aggregation for Reinforcement Learning von Mavridis, Christos N., Suriyarachchi, Nilesh, Baras, John S.

“… The proposed online deterministic annealing algorithm is a competitive-learning neural network that shows robustness with respect to the initial …”
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Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks von Cai, Fuxi, Kumar, Suhas, Van Vaerenbergh, Thomas, Sheng, Xia, Liu, Rui, Li, Can, Liu, Zhan, Foltin, Martin, Yu, Shimeng, Xia, Qiangfei, Yang, J. Joshua, Beausoleil, Raymond, Lu, Wei D., Strachan, John Paul

“… Here, we report a memristor-based annealing system that uses an energy-efficient neuromorphic architecture based on a Hopfield neural network. Our analogue …”
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Robot path planning based on artificial potential field with deterministic annealing von Wu, Zhengtian, Dai, Jinyu, Jiang, Baoping, Karimi, Hamid Reza

“… With this objective, this paper proposes a novel method based on a deterministic annealing strategy to improve the potential field function by introducing a temperature parameter to increase …”
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Clustering ensembles of neural network models von Bakker, Bart, Heskes, Tom

“… We show that large ensembles of (neural network) models, obtained e.g. in bootstrapping or sampling from (Bayesian …”
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