Results 61 to 70 of about 190,933 (296)
Soft computing in investment appraisal [PDF]
, 2001 Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the market, but does not reflect the reality, as major events happen in the ...
Hunter, J, Kalganova, T, Serguieva, A
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A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE [PDF]
, 2012 A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users.
Atayero, A. A., Luka, M. K.
core +1 more source
Advanced Robotics Research, EarlyView.This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino +7 more
wiley +1 more source
Self-Learning Fuzzy Spiking Neural Network as a Nonlinear Pulse-Position Threshold Detection Dynamic System Based on Second-Order Critically Damped Response Units [PDF]
, 2009 Architecture and learning algorithm of self-learning spiking neural network in fuzzy clustering task are outlined. Fuzzy receptive neurons for pulse-position transformation of input data are considered.
Bodyanskiy, Yevgeniy +2 more
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An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Advanced Robotics Research, EarlyView.Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source
Identifikasi Tingkat Manis Buah Belimbing Berdasarkan Citra Red Green Blue Menggunakan Fuzzy Neural Network [PDF]
, 2015 Fuzzy Neural Network (FNN) has a capability to classify a pattern within two different classes which a classical Neural Network (NN) is failed to do so. The fuzzy pattern classification use membership degree on output of neuron as learning target.
Whidhiasih, R. N. (Retno)
core
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
IEEE Access, 2020 Compared with rules in the form of `IF-THEN,' weighted fuzzy production rules (WFPRs) have more robust knowledge expression capabilities, but weighted fuzzy production rules are more difficult to obtain. The weighted fuzzy production rules obtained using
Hang-Cheng Li +4 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Optimization and Application of Fuzzy Neural Network
Journal of Harbin University of Science and Technology, 2020 In order to improve the generalization ability，convergence speed and reduce the error of the fuzzyneural network，the method of using momentum gradient descent algorithm and ＲMSprop optimization algorithm to optimize the fuzzy neural network is proposed ...
LI Hao-nan, LIU Yong
doaj +1 more source