检索结果-内蒙古大学图书馆

IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Parque, Victor Kobayashi, Masakazu Higashi, Masatake Toyota Technol Inst Tempaku Ku 2-12-1 Itisakata Nagoya Aichi 4688511 Japan

ISBN: (纸本)9781479938407

Graphs denote useful dependencies among objects ubiquitously. This paper introduces new and simple bijections to the integer grid to enable the succinct, canonical and efficient representations of labeled graphs;whereas previous work has focused on regularities in structure such as triangularity, separability, planarity, symmetry and sparsity. By succinct we imply that space is information-theoretically optimal, by canonical we imply that generation of instances is unique, and by efficient we imply that coding and decoding take polynomial time. Our results have direct implications to handle labeled graphs by using single numbers efficiently, which is significant to enable the canonical graph encodings in learning and optimization algorithms. Our bijections are the first known in the literature.

关键词： computational complexity decoding encoding graph theory optimisation canonical graph encodings canonical representation coding information theory labeled graphs learning algorithm numeric representation optimization algorithm polynomial time succinct representation Decoding Dictionaries Encoding Labeling Optimization Polynomials Vectors

来源：评论

学校读者我要写书评

暂无评论

Context-Driven Online learning for Activity Classification in Wireless Health

Context-Driven Online Learning for Activity Classification i...

引用

IEEE Global Communications Conference

作者： Jie Xu James Y. Xu Linqi Song Gregory J. Pottie Mihaela van der Schaar Electrical Engineering Department University of California Los Angeles

ISBN: (纸本)9781479935130

Enabling accurate and low-cost classification of a range of motion activities is of significant importance for wireless health through body worn inertial sensors and smartphones, due to the need by healthcare and fitness professonals to monitor exercises for quality and compliance. This paper proposes a novel contextual multi-armed bandits approach for large-scale activity classification. The proposed method is able to address the unique challenges arising from scaling, lack of training data and adaptation by melding context augmentation and continuous online learning into traditional activity classification. We rigorously characterize the performance of the proposed learning algorithm and prove that the learning regret (i.e. reward loss) is sublinear in time, thereby ensuring fast convergence to the optimal reward as well as providing short-term performance guarantees. Our experiments show that the proposed algorithm outperforms existing algorithms in terms of both providing higher classification accuracy as well as lower energy consumption.

关键词： biomedical telemetry motion measurement patient monitoring sensors smart phones body worn inertial sensors context augmentation context-driven online learning continuous online learning large-scale activity classification learning algorithm learning regret multi-armed bandits approach smartphones wireless health Classification algorithms Context Partitioning algorithms Radiation detectors Wireless communication Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

A study of neural network architecture for weak non-linear modeling

A study of neural network architecture for weak non-linear m...

引用

SICE 2004 Annual Conference

作者： Mizukami, Y Wakasa, Y Tanaka, K Yamaguchi Univ Ube Yamaguchi 755 Japan

ISBN: (纸本)4907764227

This paper studies a property of neural network architecture for non-linear modeling. This method was proposed in our previous work and has three improvements;1) the design of a sigmoidal function with localized derivative, 2) a deterministic scheme for weight initialization, and 3) an updating rule for weight parameters. We discuss its robustness against noise based on simulation results.

关键词： non-linear modeling learning algorithm robustness against noise neural network

来源：评论

学校读者我要写书评

暂无评论

Output-driven operation and memory-based architecture principles embedded in a real-world device

引用

Journal of Integrative Neuroscience 2004年第2期3卷 133-142页

作者： Tsujino, Hiroshi Honda Res. Inst. Japan Co. Ltd. Wako Saitama 351-0114 8-1 Honcho Japan

Two principles of neurocomputational design are implemented into an autonomous real-world device, such as a helicopter. The helicopter has a motivational component towards emitting motor responses in a manner similar to a fledging bird. We expect these two principles, together with an understanding of integrative brain activity and memory in which functionally and selectively distributed neural networks operate in vivo will eventually lead to the embodiment of cognition in a brain-like computer as an engineering counterpart of a real brain. © Imperial College Press.

关键词： Brain-like computer learning algorithm Memory-based Motor control Open system Output-driven

来源：评论

学校读者我要写书评

暂无评论

Approaches to Avoid Overfitting in a Quantum Perceptron

Approaches to Avoid Overfitting in a Quantum Perceptron

引用

International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)

作者： de Paula Neto, Fernando M. Filho, Gustavo I. S. Monteiro, Claudio A. Univ Fed Pernambuco UFPE Ctr Informat CIn BR-50670901 Recife PE Brazil

ISBN: (纸本)9781728169262

In this paper, we analyze an existing Quantum Perceptron in terms of its generalization performance and introduce alternative strategies to avoid classification errors, the Circuit Threshold Operator (CTO) and Neuron Threshold Variation (NTV). The adjust of the CTO and NTV parameters increases the probability of the neuron to tolerate differences between input and stored weights allowing some noise level to be acceptable. Experiments were conducted in IBM quantum simulator, showing that our proposals are effective when compared to the original fixed parameter. A hybrid classical-quantum training was executed, using Genetic algorithm to train the parameters of the model classically and running our model in a quantum simulator. Our solution achieves 78.57% and 76.43% of accuracy on a noisy dataset, while the original neuron approach does not exceed 53.57%.

关键词： quantum perceptron quantum neuron learning algorithm quantum machine learning quantum computing genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Research on Properties of Max-Product Fuzzy Associative Memory Networks

Research on Properties of Max-Product Fuzzy Associative Memo...

引用

8th International Conference on Intelligent Systems Design and Applications (ISDA 2008)

作者： Zeng, Shuffing Xu, Weihong Yang, Jingyu Nanjing Univ Sci & Technol Coll Comp Sci & Technol Nanjing Peoples R China

ISBN: (纸本)9780769533827

In general, there is small perturbation between a pattern obtained by a certain acquisition way and the corresponding actual pattern in real word. Such small perturbation may cause disadvantage to several performance of a fuzzy neural network. Thus, a new concept is established in the paper that the robustness of a feed-forward fuzzy associative memory to perturbations of training pattern pair. Then for a Max-product-based fuzzy associative memory (Max-Product FAM), the investigation reveal that such robustness of the memory is good when the fuzzy Hebbian learning algorithm is used, however is poor when another learning algorithm is employed. Finally, an experiment is given to testify the theoretical conclusion and illustrate practical application of Max-product FAM.

关键词： fuzzy associative memory network learning algorithm pattern pair perturbation robustness

来源：评论

学校读者我要写书评

暂无评论

Priority directed test generation for functional verification using neural networks 05

Priority directed test generation for functional verificatio...

引用

10th Asia and South Pacific Design Automation Conference

作者： Shen, Hao Fu, Yuzhuo Shanghai Jiao Tong Univ Sch Microelect Shanghai 200030 Peoples R China

ISBN: (纸本)0780387368

Functional verification is the bottleneck in delivering today's highly integrated electronic systems and chips. We should notice the simulation times and computation resource challenge in the automatic pseudo-random test generation and a novel solution named Priority Directed test Generation (PDG) is proposed in this paper. With PDG, a test vector which hasn't been simulated is granted a priority attribute. The priority indicates the possibility of detecting new bugs by simulating this vector. We show how to apply Artificial Neural Networks (ANNs) learning algorithm to the PDG problem. Several experiments are given to exhibit how to achieve better result in this PDG method.

关键词： automatic test pattern generation neural nets priority directed test generation functional verification integrated electronic systems computation resource automatic pseudo-random test generation artificial neural networks learning algorithm

来源：评论

学校读者我要写书评

暂无评论

Distributed Area Coverage in Mobile Directional Sensor Networks 8

Distributed Area Coverage in Mobile Directional Sensor Netwo...

引用

8th International Symposium on Telecommunications (IST)

作者： Varposhti, Marzieh Saleh, Peyman Afzal, Shahryar Dehghan, Mehdi Azad Univ Boroujen Borujen Iran Amirkabir Univ Technol Tehran Iran

ISBN: (纸本)9781509034352

One of the fundamental problems in wireless sensor networks is providing area coverage to fulfill a certain task. This problem in directional sensor networks is more challenging because of limited sensing angle of directional sensors. This paper addresses the problem of deployment and orientation of a specific number of directional sensor nodes in order to maximize the area coverage. First, we present an optimization model for this problem. Then, we propose a distributed payoff based learning algorithm in which each sensor tries to maximize its own coverage relative to the coverage of its neighbors by relocating toward uncovered positions and selecting an appropriate working direction. Simulation results demonstrate the performance of proposed algorithm.

关键词： area coverage mobile sensor networks learning algorithm

来源：评论

学校读者我要写书评

暂无评论

A Brief Survey on Fuzzy Cognitive Maps Research 11th

A Brief Survey on Fuzzy Cognitive Maps Research

引用

11th International Conference on Intelligent Computing (ICIC)

作者： Wang, Yajie Zhang, Weiyuan Xianyang Normal Univ Sch Math & Informat Sci Xianyang Peoples R China

ISBN: (纸本)9783319220536;9783319220529

The Fuzzy Cognitive Map (FCM) has emerged as a convenient and powerful soft modeling tool since its proposal. During the last nearly 30 years, Fuzzy Cognitive Maps have gained considerable research interests and have been applied to many areas. The advantageous modeling characteristics of FCMs encourage us to investigate the FCM structure, attempting to broaden the FCM functionality and applicability in real world. In this paper, the main representation and inference characteristics of conventional Fuzzy Cognitive Maps are investigated, and also the current state of the extensions of FCMs, learning algorithms for FCMs is introduced and summarized briefly.

关键词： Fuzzy Cognitive Map learning algorithm Intelligent computing Fuzzy logic Neural network

来源：评论

学校读者我要写书评

暂无评论

Fuzzy-Neural Networks for a piloted Quality Management System

Fuzzy-Neural Networks for a piloted Quality Management Syste...

引用

16th IEEE Mediterranean Electrotechnical Conference (MELECON)

作者： Dammak, Hajer Ben Mahmoud Ketata, Raouf Ben Romdhane, Taieb Ben Ahmed, Samir Natl Inst Appl Sci & Technol Tunis Tunisia

ISBN: (纸本)9781467307840

The purpose of this paper is to provide a path for designing a tool for decision support to ensure the effectiveness of Quality Management System (QMS). For this, we propose a Fuzzy-Neural Networks (FNN) approach for improving the efficiency of such system. The aim of this approach is to classify the objectives for a real-world case study which presents a major problem for controlling the quality levels of its production lines. This approach provided a significant improvement when the testing data are various or complex.

关键词： Quality Management System Fuzzy-Neural Networks learning algorithm fuzzy system

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：