artificial neural networks using java

... 1sensors ISSN 1424-8220 www.mdpi.com/journal/sensors Article Vehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System Sungkon Kim 1 , Jungwhee Lee 2,* , Min-Seok ... This paper describes the procedures for development of signal analysis algorithms using artificial neural networks for Bridge Weigh-in-Motion (B-WIM) systems Through the analysis procedure, ... (GVW); however the accuracy decreased for individual axle weights [10] The application of artificial neural networks (ANN) to the B-WIM was attempted in 2003 by Gonzalez et al for noise removal and

Ngày tải lên: 28/04/2014, 10:02

... developed by using artificial neural network (ANN) This method is based on the difference concentration of Pb(II) and Cd(II) with 4-(2-pyridylazo)-resorcinol (PAR) A feed forward neural network using ... Zupan, J & Gasteiger, J (1993) Neural networks for chemists: An introduction Weinheim: VCH Publishers 10 Cirovic, D.A (1997) Feed-forward artificial neural networks: Applications to spectroscopy ... Pb(II), Cd(II), simultaneous determination, artificial neural networks, spectrophotometry, PAR 1 INTRODUCTION More recently, the application of artificial intelligence or expert systems in

Ngày tải lên: 07/08/2014, 14:20

... …… 23 IV THE ARTIFICIAL NEURAL NETWORK ………27 4.1 Fast Artificial Neural Network (FANN) ……… ……… 29 4.2 Creating the Artificial Neural Network ……… ……30 4.3 Training the Artificial Neural Network ... spam by using an artificial neural network (ANN), software programs used for recognizing patterns, based on the biological neural networks in our brains As information propagates through a neural ... Trang 1USING ARTIFICIAL NEURAL NETWORKS TO IDENTIFY IMAGE SPAM A Thesis Presented to The Graduate Faculty of The University

Ngày tải lên: 30/10/2014, 20:14

... Trang 1Feature subset selection in dynamic stability assessment power system using artificial neural networks  Nguyen Ngoc Au 1  Quyen Huy Anh 1  Phan Thi Thanh Binh 2 1Ho Chi Minh ... method of feature subset selection in dynamic stability assessment (DSA) power system using artificial neural networks (ANN) In the application of ANN on DSA power system, feature subset selection ... the method of feature subset selection in dynamic stability assessment power system using artificial neural networks This paper proposed applying four feature subset selection algorithms that

Ngày tải lên: 12/02/2020, 19:45

... can be calculated using equation (2) Out x 1 Sigmoid x 2 x 3 x n w 1 w2 w3 wn Sum (a) Feed-forward network 3 Artificial Neural Network 3.1 Network structure An Artificial Neural Network is ... data for the ANN model, and data in column 12 were the output 3 Artificial Neural Network 3.1 Network structure An Artificial Neural Network is a collection of processing neurons grouped in layers, ... selected depending on the certain requirements of the problems 3 Artificial Neural Network 3.1 Network structure An Artificial Neural Network is a collection of processing neurons grouped in

Ngày tải lên: 20/09/2020, 20:41

... ESTIMATING THE EFFECTIVE ELASTIC MODULI OF MATRIX COMPOSITES WITH ARBITRARY INCLUSION SHAPES USING ARTIFICIAL NEURAL NETWORKS Nguyen Thi Hai Nhua, Tran Anh Binha,∗, Ha Manh Hungb a Faculty of Information ... that the feed-forward artificial neural network can be used to replace a mechanical constitutive model Various studies have utilized fitting techniques including the artificial neural network (ANN) ... (9) 3 The computation of effective properties and equivalent inclusion coefficients using ANN Artificial Neural Networks have been inspired from human brain structure In such model, each neuron

Ngày tải lên: 25/11/2020, 20:05

... log data by using the Artificial Neural Networks, without calculating of the volume of shale V sh 2 Artifical Neural Networks (ANN) ANN is the mathematical model of the biological neural network ... Son basin directly from the well log data via using the Artificial neural networks (ANNs) without calculating the volume of shale V sh Check by using the ANN of this study to calculate S wi ... of the output S neural and the j neural of hidden layer ( j 1,2, N h ) 1 ij  is weight of the intput neural i sent to the neural j of hidden layer, 2 j  is weight of the j neural of hidden

Ngày tải lên: 24/01/2021, 00:59

... method for correction and supplementing of the well log curves by using the Artificial Neural Networks Check by 2 ways: 1) Using the good recorded curves, we assume some segments are broken, ... of the Output GR neural and the j neural of Hidden layer ( j 1,2, k ) 1 ij  is weight of the Intput neural i sent to the neural jof Hidden layer, 2 j  is weight of the j neural of Hidden ... McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [3] Bùi Công Cường: Mathematical Institute of Vietnam.Publishing scientific and technical 2006 Artificial Neural Networks and fuzzy

Ngày tải lên: 24/01/2021, 01:29

... research has selected the Artificial Neural Network method 2.2 Artifical neural Networks (ANN) The Artifical neural Networks-ANN is the mathematical model of the biological neural Networks to solve ... data by using Artificial Neural Networks Firstly, by using the mineral volumes of a well that the BASROC software could calculate with great accuracy for network instruction, then the neural system ... [6] LiminFu McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [7] Carlos Gershenson C.Gershenson@sussex.ac.uk Artificial Neural Networks for Beginners [8] Pof S Sengupta

Ngày tải lên: 24/01/2021, 22:13

... method for correction and supplementing of the well log curves by using the Artificial Neural Networks Check by 2 ways: 1) Using the good recorded curves, we assume some segments are broken, ... of the Output GR neural and the j neural of Hidden layer ( j 1,2, k ) 1 ij  is weight of the Intput neural i sent to the neural jof Hidden layer, 2 j  is weight of the j neural of Hidden layer ... McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [3] Bùi Công Cường: Mathematical Institute of Vietnam.Publishing scientific and technical 2006 Artificial Neural Networks and fuzzy

Ngày tải lên: 27/01/2021, 00:02

... method for correction and supplementing of the well log curves by using the Artificial Neural Networks Check by 2 ways: 1) Using the good recorded curves, we assume some segments are broken, ... of the Output GR neural and the j neural of Hidden layer ( j 1,2, k ) 1 ij  is weight of the Intput neural i sent to the neural jof Hidden layer, 2 j  is weight of the j neural of Hidden layer ... McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [3] Bùi Công Cường: Mathematical Institute of Vietnam.Publishing scientific and technical 2006 Artificial Neural Networks and fuzzy

Ngày tải lên: 17/03/2021, 20:12

... research has selected the Artificial Neural Network method 2.2 Artifical neural Networks (ANN) The Artifical neural Networks-ANN is the mathematical model of the biological neural Networks to solve ... data by using Artificial Neural Networks Firstly, by using the mineral volumes of a well that the BASROC software could calculate with great accuracy for network instruction, then the neural system ... [6] LiminFu McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [7] Carlos Gershenson C.Gershenson@sussex.ac.uk Artificial Neural Networks for Beginners [8] Pof S Sengupta

Ngày tải lên: 17/03/2021, 20:17

... an artificial neural networks in several other applications that differ very much each another In this article we intend to show examples of a variety of applications of artificial neural networks ... mathematical tool and in this way encourage its usage Trang 22 Artificial neural networks – several types for different purposes Artificial neural networks can be divided into several groups according ... “species” of artificial neural networks that can cover a huge variety of air pollution and meteorological modelling applications The two selected are the Multilayer Perceptron artificial Neural Network

Ngày tải lên: 29/03/2014, 21:20

... inference system In the artificial intelligence field, the term “neuro-fuzzy” refers to combinations of artificial neural networks and fuzzy logic Fuzzy modeling and neural networks have been recognized ... Strip Low Carbon Steels by Artificial Neural Network Materials and Design 30:9, 3653-3658 Trang 5Botlani-Esfahani M, Toroghinejad M R and Abbasi Sh (2009b) Artificial Neural Network Modeling the ... best predictor The adaptive neuro-fuzzy inference system (ANFIS), which consists of both artificial neural networks and fuzzy logic, has been used widely in research areas related to industrial

Ngày tải lên: 20/06/2014, 00:20

... Fig 1 Biological Neuron 2.1 Artificial Neural Network (ANN) An artificial neural network (ANN) is a data processing system based on the structure of the biological neural simulation by learning ... percentage increased to 97.8% using a one-hidden layer back-propagation artificial neural network An artificial olfactory system based on Gas Sensor Array and Back-Propagation Neural Network is constructed ... inspection system with artificial neural networks that utilises colour instead of monochrome images is evaluated against trained human inspectors Comparison of Neural Networks Vs Principal component

Ngày tải lên: 20/06/2014, 00:20

... interpolation and adaptive networks Complex Systems, 2, 312-355, ISSN: 0891-2513 Cartwright, H M (2008) Artificial neural networks in biology and chemistry In: Artificial neural networks : methods ... cooking using image analysis and neural network Journal of Food Engineering, 79, 4, 1243-1249, ISSN: 0260-8774 Zou, J., Han, Y & So, S.-S (2008) Overview of artificial neural networks In: Artificial ... and artificial neural networks Sensors and Actuators B-Chemical, 145, 1, 146-154, ISSN: 0925-4005 Balasubramanian, S., Panigrahi, S., Logue, C M., Gu, H & Marchello, M (2009) Neural networks-integrated

Ngày tải lên: 20/06/2014, 00:20

... can only train single-layer linear networks This is not much of a disadvantage, however, as single-layer linear networks are just as capable as multilayer linear networks For every multilayer linear ... equivalent admittances in the circuit Using a readily available load flow results, the equivalent shunt admittance Y Lj of load node j can be calculated using the equation (9): 1 Lj Lj Lj Lj ... disturbance 6.1.1 Case 1 In this case, a 1-Hz frequency deviation occurs and tracked frequency using CADALINE, ADALINE, Kalman, and DFT approaches is revealed in Fig 4; three-phase signals are

Ngày tải lên: 20/06/2014, 00:20

... (NLARX) neural networks to represent intake manifold pressure, exhaust manifold temperature, exhaust manifold pressure to support control system development (Deng et al., 2010) Neural networks ... it can be distinguished between three types of networks: • Single-Feedforward Networks (SLFN) • Multi-Layer Feedforward Networks (MLFN) • Recurrent Networks (RNN) Where the single feedforward network ... has applied neural networks models in several different cases Their main implementation is seen in control design in the area of engine operation Hence, in engine development neural networks are

Ngày tải lên: 20/06/2014, 00:20

... approximation is built Artificial neural networks offer the advantage of performance improvement through learning using parallel and distributed processing These networks are implemented using massive ... Pleso, june 2009, STU, Bratislava Dolezel, P.; Mares, J (2009b) Reactor Furnace Control using Artificial Neural Networks and Genetic Algoritm, Proceedings of the International Conference on Applied ... analysis/artificial neural network modelling of bioprocesses, Proceedings of the 5th International Conference on Hybrid Intelligent Systems, ISBN 0-7695-2457-5, Rio de Janeiro Trang 4Direct Neural

Ngày tải lên: 20/06/2014, 00:20

... Systems Using Neural Networks- Part II: Observability, Identification and Control”, IEEE Transactions on Neural Networks, 1996, Vol 7, pp 30-42 [3] David E Rumelhart et al., “The basic ideas in neural ... “Identification and Control of Dynamical Systems Using Neural Networks” IEEE transaction on Neural Networks, 1(1), 1990 [24] Magnus Norgaard, “Neural Network Based System Identification Tool Box”, ... Haykin, “Neural networks: A comprehensive foundation”, IEEE Press, New York, USA, 1994 [16] K S Narendra and K Parthasarathy, “Identification and control of dynamical systems using neural networks,”

Ngày tải lên: 20/06/2014, 00:20