Neural information processing [electronic resource] : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings. Part II / Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King (eds.)
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented...
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| Other title: | ICONIP 2020. |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2020.
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| Series: | Lecture notes in computer science ;
12533. LNCS sublibrary. Theoretical computer science and general issues. |
| Subjects: |
MARC
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| 245 | 1 | 0 | |a Neural information processing |h [electronic resource] : |b 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings. |n Part II / |c Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King (eds.) |
| 246 | 3 | |a ICONIP 2020. | |
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| 490 | 1 | |a Lecture Notes in Computer Science ; |v 12533. | |
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| 505 | 0 | |a Intro -- Preface -- Organization -- Contents -- Part II -- Computational Intelligence -- A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map -- 1 Introduction -- 2 Model Description -- 2.1 Architecture of the System -- 2.2 Neuron Model -- 2.3 Learning Algorithm -- 2.4 Visual Calibration -- 3 Experiment Result -- 3.1 Environment -- 3.2 Experiment for Cognitive Map Building -- 3.3 Experiment for Distribution of the Weight -- 3.4 Experiment for Property Verification -- 4 Discussion -- 4.1 Discussion on Cells and Parameters of the Model. | |
| 505 | 8 | |a 4.2 Discussion on the Distribution of the Weight -- 4.3 Discussion on the Activities of Place Cells -- 5 Conclusion -- References -- Adaptive Risk-Return Control in Motor Planning -- 1 Introduction -- 2 Modeling -- 3 Model Evaluation -- 4 Summary and Discussion -- References -- Discrete Mother Tree Optimization for the Traveling Salesman Problem -- 1 Introduction -- 2 Discrete Mother Tree Algorithm (DMTO) -- 2.1 Solution Representation -- 2.2 Swap Operation -- 2.3 Updating the TMT -- 2.4 Updating the Solutions of the FPCTs Group -- 2.5 Updating the Solutions of FCTs Group. | |
| 505 | 8 | |a 2.6 Updating the Solutions of LPCTs Group -- 2.7 DMTO Climate Change -- 3 Discrete Particle Swarm Optimization for TSPs -- 3.1 Discrete Particle Swarm Optimization (DPSO) -- 3.2 Updated Version of Discrete Particle Swarm Optimization (UDPSO) -- 4 Experimentation -- 5 Conclusion and Future Works -- References -- Dynamic Cloud Workflow Scheduling with a Heuristic-Based Encoding Genetic Algorithm -- 1 Introduction -- 2 Definition and Background -- 2.1 Workflow Modeling -- 2.2 Resource Modeling -- 2.3 Extended CPM -- 2.4 Objective Functions -- 3 Algorithm -- 3.1 Batch Processing. | |
| 505 | 8 | |a 3.2 Scheduling Generator -- 3.3 Heuristic-Based Encoding GA -- 4 Experiments and Analysis -- 4.1 Efficiency of Single Heuristic Rules -- 4.2 Heuristic-Based GA vs. Pure GA -- 5 Conclusion -- References -- Multi-strategy Evolutionary Computation for Automated Jigsaw Puzzles -- 1 Introduction -- 2 Related Work -- 3 The Multi-strategy Evolution Algorithm -- 3.1 Compatibility Between Pieces and the Objective Function -- 3.2 Selector -- 3.3 Elite-Based Crossover -- 3.4 Four-Strategy Mutation -- 3.5 Diversity Enhancement Strategy -- 4 Experiments -- 4.1 Experimental Setup and Test Sets. | |
| 505 | 8 | |a 4.2 Performance Metrics -- 4.3 Comparison Results -- 4.4 In-Depth Performance of MSEA -- 5 Conclusion -- References -- Real Valued Card Counting Strategies for the Game of Blackjack -- 1 Introduction -- 2 The Game of Blackjack -- 2.1 Card Counting Principles -- 2.2 Efficiency Metrics -- 2.3 Card Counting Strategies -- 3 Methods -- 3.1 Genetic Algorithm -- 3.2 Expert Advisor Mobile Application -- 4 Experiments and Results -- 4.1 Integer Weights -- 5 Conclusions -- References -- Machine Learning -- A Feature Selection Approach to Visual Domain Adaptation in Classification -- 1 Introduction. | |
| 500 | |a Includes author index. | ||
| 520 | |a The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 12533, is organized in topical sections on computational intelligence; machine learning; robotics and control. | ||
| 650 | 0 | |a Neural networks (Computer science) |v Congresses. |0 http://id.loc.gov/authorities/subjects/sh2008108385. | |
| 650 | 7 | |a Application software. |2 fast |0 (OCoLC)fst00811706. | |
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| 650 | 7 | |a Pattern perception. |2 fast |0 (OCoLC)fst01055254. | |
| 700 | 1 | |a Yang, Haiqin. | |
| 700 | 1 | |a Pasupa, Kitsuchart. | |
| 700 | 1 | |a Leung, Chi Sing. |0 http://id.loc.gov/authorities/names/no2010037635 |1 http://isni.org/isni/0000000119536954. | |
| 700 | 1 | |a Kwok, James |c (Professor of Computer Science and Engineering) |0 http://id.loc.gov/authorities/names/nb2010014407. | |
| 700 | 1 | |a Chan, Jonathan H. |0 http://id.loc.gov/authorities/names/nb2010001086 |1 http://isni.org/isni/0000000089795460. | |
| 700 | 1 | |a King, Irwin, |d 1961- |0 http://id.loc.gov/authorities/names/n97118071 |1 http://isni.org/isni/0000000078787932. | |
| 776 | 0 | 8 | |i Print version: |a Yang, Haiqin |t Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II |d Cham : Springer International Publishing AG,c2021 |z 9783030638320. |
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