Titlebook: Brain-Inspired Information Technology; Akitoshi Hanazawa,Tsutom Miki,Keiichi Horio Book 2010 Springer-Verlag Berlin Heidelberg 2010 Inform

ordain

Pami Dua,Rajiv Ranjan,Deepika Goeldevelopment or investigation near future. However, AUVs have various problems which should be solved such as motion control, acquisition of sensors’ information, behavioral decision, navigation without collision, self-localization and so on. Therefore, the AUVs should be autonomous and adaptive to t

外来

The Models of the Enterprise Sectorobots are proposed, because a wheel type mobile mechanism has difficulty on the rough terrain movement. In our research, a 6-wheeled mobile robot employing the linkage mechanism has been developed to enhance maneuverability, and achieved climbing over a 0.20[m] height of bump. In this paper, we prop

杠杆支点

The Origins of Macroeconometric Modelst is designed as a fully autonomous, un-tethered robot, which fits to the pipes within a diameter range of 200- 300 millimeters. The practical field tests show that the robot performs well and can do pipe inspection properly and the robot moves gracefully not only at straight paths but also at junct

凶兆

The Dutch Macroeconometric Models0.. In this study, we examined whether the threshold value is unchangeable under any conditions. The avoidance behavior of the frog to looming stimulus moving toward the animal on a collision course was examined by using computer graphics and frame by frame analysis. The distance between an animal a

Afflict

https://doi.org/10.1007/978-1-349-27931-9 the dentate molecular layer, respectively. MPP projection neurons generate subthreshold oscillations, whereas LPP projection neurons do not, implying that the MPP signal is regular and the LPP signal is rather random. In this paper, we investigated synaptic modification caused by uncorrelated signa

挡泥板

conduct

擦掉

Classification and Novelty Detection of Omni-view Images Taken from a Mobile Robot,a mobile robot, finds outliers, and detects novelty. We use linear discriminant analysis for classification due to its optimality within linear computation. Experimental results demonstrate that although there are many misclassifications, there’s a possibility of making a new class composed of novel data.

Memorial

Curiosity and Boredom Based on Prediction Error as Novel Internal Rewards,opriate values of parameters simultaneously improved the performance of the predictor of the environment and increase the external rewards compared with the conventional reinforcement learning. In conclusions, the relation between the proposed method and active learning, diversive curiosity, and specific curiosity is also discussed.

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