Results 141 to 150 of about 35,631 (308)
Combining case based reasoning with neural networks [PDF]
This paper presents a neural network based technique for mapping problem situations to problem solutions for Case-Based Reasoning (CBR) applications. Both neural networks and CBR are instance-based learning techniques, although neural nets work with ...
Murray-Smith, R, Thakar, S.
core
Nonlocal Metaspire: A Scalable Elastic Material Platform With Decoupled Mechanical Modes
Nonlocal Metaspire introduces sequential rotation to realize wider scalability in implementing complex nonlocal couplings in elastic metamaterials while suppressing unintended mode coupling. Numerical results clarify the underlying wave motions, demonstrate mode‐decoupled roton and maxon formation, and support a straightforward extension to higher ...
Seung Han Kim +3 more
wiley +1 more source
Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins. [PDF]
Le NQ, Ou YY.
europepmc +1 more source
A hierarchical hydrogel evaporator with a thin, porous photothermal layer of fused core–shell carbon‐polymer nanospheres enables ultrafast interfacial solar evaporation with minimized heat loss and sufficient water supply. Directional advection‐dominated brine transport, coupled with Marangoni‐driven interfacial flow, drives salt away from the active ...
Haokun Shen +11 more
wiley +1 more source
Novel Online Dimensionality Reduction Method with Improved Topology Representing and Radial Basis Function Networks. [PDF]
Ni S, Lv J, Cheng Z, Li M.
europepmc +1 more source
Parallel wiring of bioelectrochemical devices with conventional generators unexpectedly boosts output. A biophotovoltaic paired with a solar cell delivers up to 50% more power at low loads than their separate contributions; a plant microbial fuel cell shows similar current gains.
Valeria Marsaglia +4 more
wiley +1 more source
This paper presents a novel cascade algorithm for image reconstruction in electrical impedance tomography (EIT) using radial basis function neural networks. The first subnetwork applies a density-based algorithm and k-nearest neighbors (KNN) to determine
Nomvussi Serge Ayme Kouakouo +1 more
doaj +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs. [PDF]
Le NQ, Ou YY.
europepmc +1 more source
Implementation of a Radial Basis Function Using VHDL
This paper presents the work regarding the implementation of neural network using radial basis function algorithm on very high speed integrated circuit hardware description language (VHDL). It is a digital implementation of neural network. Neural Network
DEEPAK NAGARIA +2 more
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