Results 91 to 100 of about 9,482,218 (334)
Advanced Science, EarlyView.Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Archives of Acoustics, 2019 In this paper, a new Multi-Layer Perceptron Neural Network (MLP NN) classifier is proposed for classifying sonar targets and non-targets from the acoustic backscattered signals.
M. Mosavi +4 more
semanticscholar +1 more source
Active Noise Control Using Multi-Layered Perceptron Neural Networks
Journal of Low Frequency Noise, Vibration and Active Control, 1997 This paper presents the development of a neuro-adaptive active noise control (ANC) system. Multi-layered perceptron neural networks with a backpropagation learning algorithm are considered in both the modelling and control contexts. The capabilities of the neural network in modelling dynamical systems are investigated.
M.O. Tokhi, R. Wood
openaire +1 more source
The identification of sub-pixel components from remotely sensed data: an evaluation of an artificial neural network approach [PDF]
, 1998 Until recently, methodologies to extract sub-pixel information from remotely sensed data have focused on linear un-mixing models and so called fuzzy classifiers.
Bernard, Alice Clara
core
Advancements in Multi-Layer Perceptron Training to Improve Classification Accuracy [PDF]
, 2017 Neural Networks are the popular classification tools used in Medical diagnosis for early disease detection. The performance of Neural Networks is highly depended on the training process. In the training process, the individual weights between each of the
, K. Hemalatha, K. Usha Rani
core +1 more source
Enhanced Ionic Conductivity at the Solid Electrolyte Interphase of Oxygen‐Doped Li6PS5Cl
Advanced Science, EarlyView.Machine‐learned molecular dynamics and machine‐learning‐based phase identification reveal the kinetically formed SEI at buried Li | Li6PS5Cl interfaces. The SEI is dominated by Li2S‐based anion‐substituted phases, while oxygen doping enhances SEI ionic conductivity.
Sojeong Yang +6 more
wiley +1 more source
Advanced Science, EarlyView.A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu +9 more
wiley +1 more source
Promet (Zagreb), 2012 This paper compares two fuzzy clustering algorithms – fuzzy subtractive clustering and fuzzy C-means clustering – to a multi-layer perceptron neural network for their ability to predict the severity of crash injuries and to estimate the response time on ...
Iman Aghayan +2 more
doaj +1 more source
Optimal use of computing equipment in an automated industrial inspection context [PDF]
, 1995 This thesis deals with automatic defect detection. The objective was to develop the techniques required by a small manufacturing business to make cost-efficient use of inspection technology.
Jubb, Matthew James
core
Highly Accurate Multi-layer Perceptron Neural Network for Air Data System [PDF]
, 2009 The error backpropagation multi-layer perceptron algorithm is revisited. This algorithm is used to train and validate two models of three-layer neural networks that can be used to calibrate a 5-hole pressure probe.
Krishna, H. S.
core +1 more source