Results 41 to 50 of about 240,484 (316)
Evolutionary aspects of reservoir computing [PDF]
Reservoir computing (RC) is a powerful computational paradigm that allows high versatility with cheap learning. While other artificial intelligence approaches need exhaustive resources to specify their inner workings, RC is based on a reservoir with highly nonlinear dynamics that does not require a fine tuning of its parts. These dynamics project input
openaire +5 more sources
Evolutionary Computation and QSAR Research [PDF]
The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly on quantitative structure-activity relationship (QSAR) analysis, a mathematical model that correlates the activity of a molecule with molecular ...
Aguiar-Pulido, Vanessa+5 more
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Prediction of Drifter Trajectory Using Evolutionary Computation
We used evolutionary computation to predict the trajectory of surface drifters. The data used to create the predictive model comprise the hourly position of the drifters, the flow and wind velocity at the location, and the location predicted by the MOHID
Yong-Wook Nam, Yong-Hyuk Kim
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Biclustering of Smart Building Electric Energy Consumption Data
Nowadays, smart buildings can collect data regarding the electric energy consumption, which can then be analyzed to gain insights or to predict or identify abnormal energy consumption.
Federico Divina+2 more
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Directed microbial evolution harnesses evolutionary processes in the laboratory to construct microorganisms with enhanced or novel functional traits. Attempting to direct evolutionary processes for applied goals is fundamental to evolutionary computation,
Alexander Lalejini+3 more
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GA Approach to Optimize Training Client Set in Federated Learning
Federated learning, where the distribution of distributed data is unknown, is more difficult and costly to train a central model with than traditional machine learning.
Dongseok Kang, Chang Wook Ahn
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Evolving artificial cell signaling networks using molecular classifier systems [PDF]
Nature is a source of inspiration for computational techniques which have been successfully applied to a wide variety of complex application domains. In keeping with this we examine Cell Signaling Networks (CSN) which are chemical networks responsible ...
Decraene, James+2 more
core +1 more source
Effects of chronic browsing on life‐history traits of an irruptive large herbivore population
This study aimed to determine the relationship between diet quality, body mass, and size (hind foot length), and female reproduction and sought to identify the mechanism by which high density under severe food limitations is maintained. Our results demonstrated that sika deer introduced to Nakanoshima Island have maintained high densities through high ...
Koichi Kaji+9 more
wiley +1 more source
Supporting Air-Conditioning Controller Design Using Evolutionary Computation
In recent years, as part of the remarkable development of electronic techniques, electronic control has been applied to various systems. Many sensors and actuators have been implemented into those systems, and energy efficiency and performance have been ...
Kazuyuki KOJIMA, Keiichi WATANUKI
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Optimizing Team Sport Training With Multi-Objective Evolutionary Computation
This research introduces a new novel method for mathematically optimizing team sport training models to enhance two measures of athletic performance using an evolutionary computation based approach.
Connor Mark+4 more
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