An ANN model is so simple and natural that it can handle very complex real-life problems in a nonparallel and distributive way like a biological neural network. The mathematical description of ANN can be unders
In this work, an Artificial Neural Network (ANN) approach was adopted to model the vacuum drying kinetics of moringa leaves. Levenberg–Marquardt's training algorithm with LOGSIGMOID and TANSIGMOID hidden layer transfer functions gave superior results for the prediction of moisture content and ...
美 英 n.人工神经网络 英英 例句 释义: 全部,人工神经网络
A neura network approach to ship track-keeping contro . IEEE J of Oceanic Engineering, 1996,21 (4):513 ~ 527 Identifying Mathematical Model of Ship Movement Using Artificial Neural Network Lin Li Wan Dejun Li Zigang (Department of Instrument Science and Engineering,Southeast University,Nanjing ...
The research method uses in this paper is an artificial neural network, which was a mathematical model that simulates biological neural network for information processing (Zhang et al., 2021). It was developed based on M-P neuron model (McCulloch and Pitts, 1943). M-P neuron model was the...
The shape of an AP can vary based on the altered ion channel. In this study, we generated an AP based on the change in ion channel conductance via cell electrophysiological simulation and predicted the ion channel changed by the AP shape using a simple artificial neural network (ANN) model....
Similarly, a Neural Network is a network of artificial neurons, as found in human brains, for solving artificial intelligence problems such as image identification. They may be a physical device or mathematical constructs. In other words, an Artificial Neural Network is a parallel computational syste...
aThe artificial neural network referred to as the neural network, is an imitation of biological neural network structure and function of the mathematical model and calculation model. The neural network provides a new solution for solving optimization problems. In the past few decades, the neural netw...
An artificial neural network (ANN) model is a numerical model that has the capability to approximate arbitrary continuous and bounded nonlinear functions with extensive applicability and high accuracy. From: Comprehensive Materials Processing, 2014 ...
Artificial neural network Levenberg Marquardt algorithm Micropolar nanofluid Buongiorno model Activation energy Nomenclature a Distance (m) aj Micro-inertial parameter B0 Magnetic field intensity(A m−1) BiTi Biot number C 1concentration of the fluid(mol/m3) C1 Concentration at the bottom wall(mol...