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臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
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Institution Date Title Author
臺大學術典藏 2020-01-14T03:33:24Z Reinforced two-step-ahead weight adjustment technique for online training of recurrent neural networks Chang L.-C.; Chen P.-A.; Chang F.-J.; FI-JOHN CHANG
國立交通大學 2014-12-08T15:11:53Z Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers Hsu, Chi-Yao; Hsu, Yung-Chi; Lin, Sheng-Fuu
國立交通大學 2014-12-08T15:09:25Z Reinforcement group cooperation-based symbiotic evolution for recurrent wavelet-based neuro-fuzzy systems Hsu, Yung-Chi; Lin, Sheng-Fuu
國立勤益科技大學 2007-08 Reinforcement Hybrid Evolutionary Learning for Recurrent Wavelet-Based Neurofuzzy Systems Lin, Cheng-Jian ; Hsu, Yung-Chi
國立交通大學 2014-12-08T15:13:36Z Reinforcement hybrid evolutionary learning for recurrent wavelet-based neurofuzzy systems Lin, Cheng-Jian; Hsu, Yung-Chi
國立交通大學 2014-12-08T15:01:08Z Reinforcement learning and its application to force control of an industrial robot Song, KT; Chu, TS
國立交通大學 2019-04-02T05:59:25Z Reinforcement learning and its application to force control of an industrial robot Song, KT; Chu, TS
國立交通大學 2014-12-08T15:47:35Z Reinforcement learning and robust control for robot compliance tasks Kuan, CP; Young, KY
朝陽科技大學 2023-10-15 Reinforcement Learning Approach for Adaptive C-V2X Resource Management 黃永發; Bayu, Teguh Indra; Chen, Jeang-Kuo; Huang, Yung-Fa
國立交通大學 2020-05-05T00:02:00Z Reinforcement Learning based Fragment-Aware Scheduling for High Utilization HPC Platforms Chang, Yen-Ling; Wu, I-Chen; Chen, Lung-Pin
國立交通大學 2019-10-05T00:09:44Z REINFORCEMENT LEARNING BASED SPEECH ENHANCEMENT FOR ROBUST SPEECH RECOGNITION Shen, Yih-Liang; Huang, Chao-Yuan; Wang, Syu-Siang; Tsao, Yu; Wang, Hsin-Min; Chi, Tai-Shih
臺大學術典藏 2020-05-04T08:00:26Z Reinforcement learning control for consensus of the leader-follower multi-agent systems Chiang, M.-L.; Liu, A.-S.; Fu, L.-C.; LI-CHEN FU
臺大學術典藏 2021-08-05T02:40:38Z Reinforcement learning control for six-phase permanent magnet synchronous motor position servo drive Peng W.-L;Lan Y.-W;Chen S.-G;Lin F.-J;Chang R.-I;Ho J.-M.; Peng W.-L; Lan Y.-W; Chen S.-G; Lin F.-J; Chang R.-I; Ho J.-M.; RAY-I CHANG
國立成功大學 2023-05~2023-06 Reinforcement learning design framework for nacre-like structures optimized for pre-existing crack resistance Tseng;Bor-Yann;Cai;You-Cheng;Guo;Conan, Chen-Wei;Zhao;Elena;Yu;Chi-Hua
國立交通大學 2014-12-08T15:02:39Z Reinforcement learning for an ART-based fuzzy adaptive learning control network Lin, CJ; Lin, CT
國立勤益科技大學 1996-05 Reinforcement Learning for An ART-Based Fuzzy Adaptive Learning Control Network Lin, Cheng-Jian ; Lin, Chin-Teng
國立交通大學 2019-04-02T05:59:24Z Reinforcement learning for an ART-based fuzzy adaptive learning control network Lin, CJ; Lin, CT
國立交通大學 2014-12-08T15:02:24Z Reinforcement learning for an ART-based fuzzy adaptive learning control network (vol 7, pg 709, 1996) Lia, CJ; Lin, CT
國立交通大學 2019-04-02T05:58:33Z Reinforcement learning for an ART-based fuzzy adaptive learning control network (vol 7, pg 709, 1996) Lia, CJ; Lin, CT
國立交通大學 2014-12-08T15:27:44Z REINFORCEMENT LEARNING FOR ART-BASED FUZZY ADAPTIVE LEARNING CONTROL NETWORKS LIN, CJ; LIN, CT
國立交通大學 2019-04-02T06:04:47Z Reinforcement Learning for HEVC/H.265 Frame-level Bit Allocation Chen, Lian-Ching; Hu, Jun-Hao; Peng, Wen-Hsiao
國立交通大學 2019-04-02T06:04:29Z Reinforcement Learning for HEVC/H.265 Intra-Frame Rate Control Hu, Jun-Hao; Peng, Wen-Hsiao; Chung, Chia-Hua
臺大學術典藏 2021-09-02T00:08:51Z Reinforcement learning for improving the accuracy of PM2.5 pollution forecast under the neural network framework Chang S.-W;Chang C.-L;Li L.-T;Liao S.-W.; Chang S.-W; Chang C.-L; Li L.-T; Liao S.-W.; SHIH-WEI LIAO
元智大學 2021/7/29 Reinforcement Learning for Production Planning with Demand Sensitive to Delivery Lead Time Chi-Yang Tsai; Erickson Liang
國立政治大學 2009.07 Reinforcement Learning in Auction Experiments 陳樹衡;Yi-Ling Hsieh
國立政治大學 2009.02 Reinforcement Learning in Auction Experiments 陳樹衡;Yi-Lin Yeh
國立政治大學 2008.12 Reinforcement Learning in Auction Experiments 陳樹衡;Yi-Lin Hsieh
國立政治大學 2011 Reinforcement Learning in Experimental Asset Markets Chen,Shu-Heng ;Hsieh,Yi-Lin; 陳樹衡
臺大學術典藏 1993-10 Reinforcement Learning in Fuzzy Control:a Comparative Study Pong, Chi-Fong; Chen, Yung-Yaw; Kuo, Te-Son; Pong, Chi-Fong; 陳永耀; 郭德盛; Chen, Yung-Yaw; Kuo, Te-Son
國立臺灣大學 1993-10 Reinforcement Learning in Fuzzy Control:a Comparative Study Pong, Chi-Fong; 陳永耀; 郭德盛; Pong, Chi-Fong; Chen, Yung-Yaw; Kuo, Te-Son
南台科技大學 2007-06 Reinforcement Learning Reward Functions for Unsupervised Learning Colin Fyfe; 賴培淋; Pei-Ling Lai
南台科技大學 2007 Reinforcement Learning Reward Functions for Unsupervised Learning Colin Fyfe; 賴培淋; Pei-Ling Lai
國立成功大學 2023 Reinforcement Learning With Data Envelopment Analysis and Conditional Value-At-Risk for the Capacity Expansion Problem Lee, C.;Chen, Y.
國立成功大學 2024 Reinforcement Learning With Data Envelopment Analysis and Conditional Value-At-Risk for the Capacity Expansion Problem Lee;Chia-Yen;Chen;Yen-Wen
國立臺灣海洋大學 2013 Reinforcement Learning with FCMAC for TRMS Control Jih-Gau Juang; Yi-Chong Chiang
國立交通大學 2020-03-02T03:23:26Z Reinforcement Learning-Based Downlink Interference Control for Ultra-Dense Small Cells Xiao, Liang; Zhang, Hailu; Xiao, Yilin; Wan, Xiaoyue; Liu, Sicong; Wang, Li-Chun; Poor, H. Vincent
國立成功大學 2023 Reinforcement Learning-based Energy Management System for Microgrids with High Renewable Energy Penetration Lin, Y.-J.;Chen, Y.-C.;Hsieh, S.-F.;Liu, H.-Y.;Chiang, Chiang C.-H.;Yang, H.-T.
國立成功大學 2021 Reinforcement Learning-Based Energy-Efficient Data Access for Airborne Users in Civil Aircrafts-Enabled SAGIN Chen, Q.;Meng, W.;Han, S.;Li, C.;Chen, H.-H.
國立成功大學 2020 REINFORCEMENT LEARNING-BASED IBVS STRUCTURE FOR CONTROL OF POINT-TO-POINT MOTION OF ROBOT MANIPULATORS Ye;Ting-Yu;Cheng;Ming-Yang;Chen;Ya-Ling;Huang;Pin-Hsuan
臺大學術典藏 2021-08-05T02:36:32Z Reinforcement limits for reinforced concrete elements with high-strength steel Puranam A.Y;Pujol S.; Puranam A.Y; Pujol S.; AISHWARYA YERRAPOTU PURANAM
國立成功大學 2009-04 Reinforcement of a poly(dimethyl siloxane) mold with high aspect ratio microstructures via a gas-liquid phase sol-gel process Jheng, Zih-Jian; Fang, Yan-Chao; Lo, Kuo-Feng; Juang, Yi-Je
中國醫藥大學 2001 Reinforcement of Acrylic Denture Base Resin by Incorporation of Various Fibers 陳三餘(San-Yue Chen); 梁文敏(Liang,Wen-Miin); (Yen PS)
中國醫藥大學 2001 Reinforcement of acrylic denture base resin by incorporation of various fibers Chen, SY; Liang, WM; Yen, PS
中國醫藥大學 2008-12 Reinforcement of dynamically vulcanized EPDM/PP elastomers using organoclay fillers 蔡育勳(Yuhsin Tsai);(Jyh-Horng Wu)*;(Yao-Tsu Wu);(Chia-Hao Li);(Ming-Tsong Leu)
國立臺灣科技大學 2009 Reinforcement of dynamically vulcanized EPDM/PP elastomers using organoclay fillers: Dynamic properties of rubber vibration isolators and antivibration performance Wu J.-H.; Li C.-H.; Chiu H.-T.; Shong Z.-J.; Tsai P.-A.
臺大學術典藏 2021-01-20T07:58:13Z Reinforcement of patient education improved physicians' adherence to guideline-recommended medical therapy after acute coronary syndrome Wu, Chih Cheng; Lee, Chih-Kuo ; Lee, Ming-Hsien ; Su, Fang-Ying ; Yeh, Tzu-Shan ; Cheng, Li-Ying ; Wu, Yen-Wen ; Liu, Yen-Bin; CHAO LUN LAI; MU YANG HSIEH
臺大學術典藏 2019-12-13T08:23:35Z Reinforcement of patient education improved physicians’ adherence to guideline-recommended medical therapy after acute coronary syndrome Wu, Chih-Cheng; CHAO LUN LAI; MU YANG HSIEH; YEN BIN LIU; Lee, Chih-Kuo; Lee, Ming-Hsien; Su, Fang-Ying; Yeh, Tzu-Shan; Cheng, Li-Ying; Wu, Yen-Wen
臺大學術典藏 2019 Reinforcement of patient education improved physicians’ adherence to guideline-recommended medical therapy after acute coronary syndrome Lee M.-H.; Su F.-Y.; Yeh T.-S.; Cheng L.-Y.; Hsieh M.-Y.; YEN-WEN WU; Liu Y.-B.; Wu C.-C.; Lai C.-L.; Lee C.-K.
臺大學術典藏 2022-02-23T02:19:40Z Reinforcement of patient education improved physicians’ adherence to guideline-recommended medical therapy after acute coronary syndrome Lee C.-K.; Lai C.-L.; Lee M.-H.; Su F.-Y.; Yeh T.-S.; Cheng L.-Y.; Hsieh M.-Y.; Wu Y.-W.; Liu Y.-B.; CHIH-CHENG WU
臺大學術典藏 2022-09-13T08:19:00Z Reinforcement of patient education improved physicians’ adherence to guideline-recommended medical therapy after acute coronary syndrome Lee C.-K.; Lai C.-L.; Lee M.-H.; Su F.-Y.; Yeh T.-S.; Cheng L.-Y.; Hsieh M.-Y.; Wu Y.-W.; Liu Y.-B.; CHIH-CHENG WU

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