2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)最新文献_第7页

Stochastic synchronization analysis of nonlinearly hybrid-coupled delayed dynamical networks with switching topologies by single pinning impulsive control 具有切换拓扑的非线性混合耦合延迟动态网络的单钉脉冲控制随机同步分析

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449862

Pan Yang, Jan Wen Feng, Yi Zhao

引用次数: 0

Multispectral image classification based on neural network ensembles 基于神经网络集成的多光谱图像分类

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449838

Xiaoyang Fu

引用次数: 1

An improved algorithm for human activity recognition using wearable sensors 基于可穿戴传感器的人体活动识别改进算法

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449833

Ye Chen, Ming Guo, Zhelong Wang

引用次数: 18

Building Connect6 opening by using the Monte Carlo tree search 通过使用蒙特卡罗树搜索构建Connect6打开

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449847

Jung-Kuei Yang, P. Tseng

{"title":"Building Connect6 opening by using the Monte Carlo tree search","authors":"Jung-Kuei Yang, P. Tseng","doi":"10.1109/ICACI.2016.7449847","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449847","url":null,"abstract":"An opening book is an important part in most game-playing computer programs. The purpose of the research aims to construct an Opening-Book system of Connect6 game. In this study, it develops a real system that can apply Opening-Book system of Connect6 to Kavalan. However, the method in which constructed the system is not by profession's domain knowledge, and it is constructed by numerous end games. The study collects various end games to construct positions of opening book from public competitions, including self-games. The study incorporates the previous results into the design of the tree structure of Connect6 opening: the research of Bitboard design and bitwise computing of Connect6, revised algorithm of MCTS to fit the property of sudden-death, and the experience of software development of Connect6 game. It plays an important role of developing Connect6 opening to combine the building of Opening-Book system and the search algorithm of Connect6. In addition, it can show the overall efficiency only if the search algorithm and Connect6 opening are perfect match. Hence, two methods balance the advantage and disadvantage to achieve the greatest accomplishment. The study has finished the analysis of Connect6 board and the design of Connect6 opening. Besides, it also finished the development of the Opening-Book system of Connect6 game, and attached it to the MCTS of Connect6. With the increasing of positions saving in the Connect6 opening, Kavalan already greatly reducing the time spent on opening-game. Therefore, the results of the research greatly enhance the search efficiency of Kavalan.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134285165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Calculating time complexity for searching connections among persons from Myanmar census data using graph database 利用图形数据库计算缅甸人口普查数据中查找人之间联系的时间复杂度

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449826

Kay Thi Yar, Khin Mar Lar Tun

{"title":"Calculating time complexity for searching connections among persons from Myanmar census data using graph database","authors":"Kay Thi Yar, Khin Mar Lar Tun","doi":"10.1109/ICACI.2016.7449826","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449826","url":null,"abstract":"Searching relationship among persons is more and more growing importance to acquire related information, genealogical relationship and personnel history. In this paper, the framework with three portions is proposed for exploring peoples' relationship from their personnel information. The first portion focuses on storage structure to store data in Graph database by representing persons as nodes and their attributes as properties. There are no predefined relationships or edges between person nodes in this system. The second part focuses on searching relationships among separated person nodes. Graph database searching algorithm called Personnel Relationship Searching Algorithm is proposed. The last portion proposes Deductive Reasoning Algorithm to define two persons' relationship based on search results of match domain (or) attributes using predefined prolog rules. For example, if the match domain is relatives, the relation may be consanguine, such as GrandFather, Eldest_Son, Youngest_Son_In_Law, Khame_Khamet, etc. If the match domain is organization (or) hobby (or) religion, the relation may work in same organization, etc. The time complexity for two proposed algorithms is calculated to evaluate the running time for each case study.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122104813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards transferring skills to flexible surgical robots with programming by demonstration and reinforcement learning 通过演示和强化学习，将技能转移到灵活的手术机器人上

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449855

Jie Chen, H. Lau, Wenjun Xu, Hongliang Ren

{"title":"Towards transferring skills to flexible surgical robots with programming by demonstration and reinforcement learning","authors":"Jie Chen, H. Lau, Wenjun Xu, Hongliang Ren","doi":"10.1109/ICACI.2016.7449855","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449855","url":null,"abstract":"Flexible manipulators such as tendon-driven serpentine manipulators perform better than traditional rigid ones in minimally invasive surgical tasks, including navigation in confined space through key-hole like incisions. However, due to the inherent nonlinearities and model uncertainties, motion control of such manipulators becomes extremely challenging. In this work, a hybrid framework combining Programming by Demonstration (PbD) and reinforcement learning is proposed to solve this problem. Gaussian Mixture Models (GMM), Gaussian Mixture Regression (GMR) and linear regression are used to learn the inverse kinematic model of the manipulator from human demonstrations. The learned model is used as nominal model to calculate the output end-effector trajectories of the manipulator. Two surgical tasks are performed to demonstrate the effectiveness of reinforcement learning: tube insertion and circle following. Gaussian noise is introduced to the standard model and the disturbed models are fed to the manipulator to calculate the actuator input with respect to the task specific end-effector trajectories. An expectation maximization (E-M) based reinforcement learning algorithm is used to update the disturbed model with returns from rollouts. Simulation results have verified that the disturbed model can be converged to the standard one and the tracking accuracy is enhanced.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129276109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

A mixed model for open-end fund performance evaluation 开放式基金绩效评价的混合模型

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449830

Xiaoyue Zhao, Yongfeng Xu, Ren-Wei Zhao, Jianglun Wu

引用次数: 0

FPGA implementation of K-Winners-Take-All neural network based on linear programming formulation 基于线性规划公式的k -赢家通吃神经网络的FPGA实现

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449803

Shenshen Gu, Jiarui Zhang

{"title":"FPGA implementation of K-Winners-Take-All neural network based on linear programming formulation","authors":"Shenshen Gu, Jiarui Zhang","doi":"10.1109/ICACI.2016.7449803","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449803","url":null,"abstract":"K-Winner-take-all (kWTA) is an operation that identifies the k largest inputs from multiple input signals. It has important applications in machine learning, statistics filtering and sorting, etc. As the number of inputs becomes large and the selection process should be operated in real time, parallel algorithms are desirable. For these reasons, many neural network algorithms have been proposed to solve kWTA. Compared with software simulations, the hardware implementation is capable of a high degree of parallelism. There are many hardware implementations that have been proposed, such as digital chips, analog chips, hybrids chips, FPGA based chips, and (non-electronic) optical chips implementation. Compared with other hardware implementations, the FPGA provides an effective programmable resource, together with a fast prototyping and rapid system deployment. In this paper, a new hardware implementation technique for a typical neural network of kWTA using a field-programmable-gate-array (FPGA) chip is proposed. Experimental results show that the proposed hardware implementation method has a high degree of parallelism and fast performance.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126380699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Designing adaptive consensus-based scheme for economic dispatch of smart grid 基于自适应共识的智能电网经济调度方案设计

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449831

G. Wen, Wenwu Yu, Xinghuo Yu, Jinde Cao

引用次数: 10

Compression of fully-connected layer in neural network by Kronecker product 神经网络中全连通层的Kronecker积压缩

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2015-07-21 DOI: 10.1109/ICACI.2016.7449822

Jia-Nan Wu

引用次数: 20