
Reservoir Computing by Kohei Nakajima
It originated from computational neuroscience and machine learning but has, in recent years, spread dramatically, and has been introduced into a wide variety of fields, including complex systems science, physics, material science, biological science, quantum machine learning, optical communication systems, and robotics.-
Robot Evolution
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An Introduction to Metaheuristics for Optimization
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Deep Neural Evolution
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Lectures on Intelligent Systems
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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
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Coevolutionary Computation and Its Applications
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Visions of DNA Nanotechnology at 40 for the Next 40
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Cartesian Genetic Programming
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Bioinspired Computation in Combinatorial Optimization
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Self-organising Software
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Swarm Intelligence
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Evolution as Computation
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Algorithmic Bioprocesses
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General-Purpose Optimization Through Information Maximization
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Nature Inspired Optimisation for Delivery Problems
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Experimental Research in Evolutionary Computation
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Hyper-Heuristics: Theory and Applications
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Modelling in Molecular Biology
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Advances in Metaheuristics for Hard Optimization
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Foraging-Inspired Optimisation Algorithms
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Mobility in Process Calculi and Natural Computing
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Automating the Design of Data Mining Algorithms
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Contemporary Evolution Strategies
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Theory and Principled Methods for the Design of Metaheuristics
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Discrete and Topological Models in Molecular Biology
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Massively Parallel Evolutionary Computation on GPGPUs
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Multimodal Optimization by Means of Evolutionary Algorithms
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Computation in Living Cells
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Sensitivity Analysis for Neural Networks
Kohei Nakajima is an Associate Professor in the Graduate School of Information Science and Technology at the University of Tokyo. He received BS, MS, and PhD degrees from the University of Tokyo in 2004, 2006, and 2009, respectively. After obtaining his PhD, he spent five years as a post-doctoral fellow and a JSPS Postdoctoral Fellow for Research Abroad at the University of Zurich and at ETH Zurich in Switzerland. In 2013, he was awarded the title of the Hakubi researcher at Kyoto University, and until 2017, he was an Assistant Professor at the Hakubi Center for Advanced Research at Kyoto University. He was also a JST PRESTO researcher from 2015 to 2019. His research interests include nonlinear dynamical systems, information theory, reservoir computing, physical reservoir computing, and soft robotics.
Ingo Fischer has since 2009 been a Research Professor of the Spanish National Research Council (CSIC) at the Institute for Cross-Disciplinary Physics and ComplexSystems IFISC (UIB-CSIC) in Palma de Mallorca (Spain). Moreover, he is head of the University group ‘Experimental Physics of Complex Systems’ at the Universitat de les Illes Balears (UIB) and currently Deputy Scientific Director of the Maria de Maeztu Unit of Excellence on ‘Information Processing in and by Complex Systems’. His research has been covering nonlinear photonics, brain-inspired information processing, in particular reservoir computing, complex systems and their applications, broad area semiconductor lasers and quantum chaos. He received his diploma and Ph.D. degrees in physics from Philipps-University Marburg (Germany) in 1992 and 1995, respectively. He was a Post-doctoral researcher at Advanced Telecommunication Research Labs at Kyoto (Japan), was Hochschul-Assistent (Assistant Professor) at TU Darmstadt (Germany), senior visiting scientist at Vrije Universiteit Brussel (Belgium), and from 2007 to 2009 full professor (chair) for photonics and integrated systems at Heriot-Watt University, Edinburgh (U.K.) In 2017 and 2018, he has also been Distinguished Visiting Professor at the Yukawa Institute, Kyoto University (Japan). He received several research prizes, including the first Hassian Industry Cooperation Prize for Technology Transfer.
| SKU | Unavailable |
| ISBN 13 | 9789811316869 |
| ISBN 10 | 9811316864 |
| Title | Reservoir Computing |
| Author | Kohei Nakajima |
| Series | Natural Computing Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2021-08-06 |
| Number of pages | 458 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |




























