Reservoir Computing
Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing
... In particular, navigation tasks frequently need to be solved under the assumption that the state of the environment is par- tially observable, where the robot does not know the complete state of the environment just by ...
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Enhanced reservoir computing with concatenation
... In section 4, we propose enhanced reservoir computing with concatenation for the limitation. We split the nodes and perturb each small reservoirs. RCK has improved performance by the concatenation, but ESN ...
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A Comparative Study of Reservoir Computing for Temporal Signal Processing
... a reservoir, we have to understand the effects of the reservoir’s architecture on its fundamental memory and computational ...increasing reservoir size in ESN improves the performance of generalization, ...
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Reservoir Computing: Size and Connectivity Optimization using the "Worm Algorithm"
... of Reservoir Computing (RC) technique, one should take care of Reservoir's Size 1 (RS) (number of neurons in the Reservoir) and Recurrent Neural Network's (RNN) Connectivity Percent 2 (CP); because ...
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A Schmitt Trigger Based Oscillatory Neural Network for Reservoir Computing
... Abstract: With the increase in communication bandwidth and frequency, the development level of communication technology is also constantly developing. The scale of the Internet of Things (IoT) has shifted from single ...
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Reservoir Computing in Materio : An Evaluation of Configuration through Evolution
... bespoke computing platform [5]–[8]. The field of Reservoir Computing was originally conceived from two complementary independent investigations; designing a computational model for real-time ...
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The role of structure and complexity on Reservoir Computing quality
... Lattice networks/models are common in computational physics, condensed matter physics and beyond, modelling physical interactions, phase transitions and structure [15]. Examples include: discrete lattices like the Ising ...
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Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback
... (RC) have outperformed previous approaches in time series prediction [1], while deep learning broke many records in image recognition [2] and won against the most renowned human players in the classical Chinese game of ...
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Movement Prediction using Reservoir Computing
... The Reservoir Computing is a developed technique by [1],[2] under the names of Echo State Network (ESN) and Liquid State Machine ...the reservoir computes and process information about the input from ...
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PAM-4 transmission at 1550 nm using photonic reservoir computing post-processing
... photonic reservoir computing (RC)–a hardware machine learning technique with recurrent connectivity–has been proposed as a post-processing tool that deals with deterministic distortions from fiber ...
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Differentiable reservoir computing
... of reservoir computing, much effort has been devoted in the last two decades to characterize the situations in which systems of this type exhibit the so-called echo state (ESP) and fading memory (FMP) ...
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Reservoir Computing in Materio
... materio reservoir sizes, are still pos- ...and reservoir computing frameworks allow for a vast variety of methods (and combinations) to observe states and evolve paramet- ...
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Reservoir computing with output feedback
... “rich reservoir” of dynamics [34]. These so called reservoir computing networks support efficient learning and obviate tuning of the inter- nal ...these reservoir networks is based on training ...
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Human activity recognition using multisensor data fusion based on Reservoir Computing
... Abstract. Activity recognition plays a key role in providing activity assistance and care for users in smart homes. In this work, we present an activity recognition system that classifies in the near real-time a set of ...
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Optimal Reservoir Operation Using Genetic Algorithm: A Case Study of Ukai Reservoir Project
... An optimal policy has been developed for release of water from the Ukai reservoir project for the purpose of irrigation. The releases developed by Genetic algorithm satisfy completely the irrigation demands for ...
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MŚCIWOJÓW RESERVOIR – STUDY OF A SMALL RETENTION RESERVOIR WITH AN INNOVATIVE WATER SELF-PURIFICATION SYSTEM
... and phosphates in specific parts of the reservoir. During the initial period of operation of the ob- ject – in the years 2000–2002 – the mean reduc- tion in the concentration of nitrates in the pre- ...
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Optimal Reservoir Operation Using Genetic Algorithm: A Case study of Mazam Reservoir Project
... management, Reservoir Operation is an important element. Reservoir Operation contains several control ...of reservoir is done to meet the different objectives, such as hydropower generation flood ...
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LINKING OF DHOM RESERVOIR TO NER RESERVOIR: UNDERSTANDING THE ALIGNMENT OF THE OPEN AND CLOSE CONDUIT, MAHARASHTRA
... Ner reservoir in Satara ...Ner reservoir is dry in most of the months of the ...Ner reservoir in rainy season, but in later season it gets dry and water scarcity problem continues in remaining ...
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Reservoir Operation During Droughts
... Karadj reservoir located in the northwest of Tehran is the major source of the capital’s municipal water ...important reservoir operation criteria including reliability, resiliency, and ...
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Calculation of reservoir capacity loss due to sediment deposition in the `Muela reservoir, Northern Lesotho
... in reservoir storage capacity, and thus sedimentation volume is relatively easy and implement using GIS, however, caution should be used in interpretation of the results as there are numerous sources of error that ...
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