artificial neural network software for excel

... Algorithm for Evolving an Artificial Neural Network Controller”, Congress of Evolutionary Computation, IEEE International Conference on, Singapore, 2007 110 APPENDIX Software Codes for the DLPSO ... EVOLUTION OF ARTIFICIAL NEURAL NETWORK CONTROLLER FOR A BOOST CONVERTER VASANTH SUBRAMANYAM (B E., Anna University, India) A THESIS SUBMITTED FOR THE DEGREE OF MASTER OF ENGINEERING ... 110 APPENDIX 111 SOFTWARE CODES FOR THE DLPSO ALGORITHM 111 A FIRST LAYER OF PSO FOR STRUCTURAL OPTIMIZATION 111 B SECOND LAYER OF DLPSO FOR WEIGHT OPTIMIZATION 115

Ngày tải lên: 05/10/2015, 22:04

... in Table for CFB gasifiers and in Table for BFB gasifiers 2.2 Artificial neural networks topology An artificial neural network is a system based on the operation of biological neural networks, ... Interpreting neural- network connection weights AI Expert 1991;6:47e51 [19] Khataee AR, Mirzajani O UV/peroxydisulfate oxidation of C I Basic Blue 3: modeling of key factors by artificial neural network ... these models Different kinds of models have been implemented for gasification systems, including equilibrium, kinetic and artificial neural networks According to Villanueva et al [1], equilibrium

Ngày tải lên: 02/08/2016, 09:34

... reduce the need for large training samples Abbreviations ANN: Artificial neural network; CV: Cross validation; GRRANN: Gene regulatory network- based regularized artificial neural network; GRN: ... overfitting To this end, we design a gene regulatory network based artificial neural neural network model together with regularization methods for simultaneous shrinkage of gene-sets based on ‘active’ ... Kang et al BMC Bioinformatics (2017) 18:565 DOI 10.1186/s12859-017-1984-2 RESEARCH ARTICLE Open Access A biological network- based regularized artificial neural network model for robust phenotype

Ngày tải lên: 25/11/2020, 16:43

... the network? ??s output, y,) was computed The computed errors were used by the network performance function to optimize the network and the default network performance function for feedforward networks ... computation model Artificial Neural Network has been found to be very effective in prediction problems and useful in the development of models [11] Artificial Neural Network (ANN) is one of the artificial ... developing an optimal artificial neural network based on experimental data, Int Commun Heat Mass 77 (2016) 4953 [12] H Elỗiỗek, E Akdogan, S Karagöz, The use of artificial neural network for prediction

Ngày tải lên: 19/11/2022, 11:43

... System Dynamics 16 2.5 ANN Structure for the Motor Controller 19 2.5.1 Feedforward neural network structure (FFNN) 19 2.5.2 Artificial Neural Network Structure for motor drive 21 Summary 22 2.2 ... tested for proper functioning, performance evaluation of the ANNbased adaptive controller is performed through extensive experimentation Artificial neural network based adaptive controller for DC ... Workshop code generation for above Simulink model 58 Figure D Real-Time Workshop code generation for above Simulink model 66 Artificial neural network based adaptive controller for dc motors v Chapter

Ngày tải lên: 30/09/2015, 14:16

... training, model prediction performance analysis, neural network model changes and model verification Neural network model For utilizing a neural network model (NNM), the prediction model has to ... order to devise neural network prediction model for the syngas composition Neural 100 200 300 400 500 600 700 800 900 Time [min] Fig 11 Neural network model verification test for syngas composition ... xxx–xxx Fig 12 Results of the neural network model for hourly averaged syngas composition prediction (H2) – Pirna gasifier Fig 13 Results of the neural network model for current (left) and hourly

Ngày tải lên: 01/08/2016, 09:32

... lehongha1979@gmail.com (Ha, L H.) 51 Artificial Neural Network (ANN) is an Artificial Intelligence technique which have broad applications in risk management [8] McKim used the neural network for id [9] Wenxi used ... assess Neural risk and Network to evaluate their impacts to the project’s profit for new Artificial projects The following sections will explain the research approach in detail Artificial Neural Network ... [24] Multilayer Perceptron (MLP) neural technique, a Feed-forward network, with the use of software SPSS Inc, is chosen for this study MLP is a common neural network type, which is easy to understand

Ngày tải lên: 11/02/2020, 12:51

... turning using artificial neural network Neural Computing & Applications, 14(4), 319-324 Quiza, R., Figueira, L., & Davim, J P (2008) Comparing statistical models and artificial neural networks on ... parameters for surface roughness in turning.Materials & design, 28(4), 1379-1385 Nalbant, M., Gokkaya, H., & Toktas, I (2007) Comparison of regression and artificial neural network models for surface ... Residuals vs fitted value for Ra 10 12 14 16 18 Observation Order 20 22 24 26 Fig Residuals vs order of the data for Ra Another predictive model based on ANN (Artificial neural network) is employed,

Ngày tải lên: 14/05/2020, 22:03

... http://asp.eurasipjournals.com/content/2012/1/165 RESEARCH Open Access Integrating artificial neural network and classical methods for unsupervised classification of optical remote sensing data Ahmed AK ... for each individual classifier Three individual classifiers are used for the development of the system, K-means and K-medians clustering of the classical approach and Kohonen network of the artificial ... classical approach is K-means clustering algorithm [3] while Kohonen network is the most commonly used one of the artificial neural network approach [4] So far many research works have conducted to

Ngày tải lên: 02/11/2022, 11:36

... high pressure values of AHP Back-propagation artificial neural network (BP-ANN).  Artificial neural networks (ANNs) are adaptive and have parallel information-processing structures, which have ... and to provide powerful tools for non-linear, multidimensional interpolations The back-propagation artificial neural network (BP-ANN) is a kind of artificial neural network model consisting of ... prediction of grinding mill liners using an artificial neural network Minerals Engineering 53, 1–8 (2013) 19 Z G Tian, L Wong & N Safaei A neural network approach for remaining useful life prediction

Ngày tải lên: 04/12/2022, 15:03

... System based on an Artificial Neural Network for Microstructure Segmentation and Fo Quantification), developed during this work and here presented, that uses an artificial rP neural network based ... Engenharia de Teleinformática Alexandria, Auzuir; Universidade Federal Ceará, Departamento de Engenharia de Teleinformática Tavares, João; Universidade Porto artificial neural networks, image processing ... Testing and Evaluation Artificial Intelligence, Digital Signal Processing and Pattern Recognition fields [3] Artificial Neural Networks (ANN) is one of the techniques used in Artificial Intelligence

Ngày tải lên: 05/01/2023, 15:21

... problens for redundant manipulators (Fig 2) Hierarchical neural network for control and learning Ito [5] proposed that the cerebrocerebellar communication loop is used as a reference model for the ... control Fig A repetitive neural network model learns and minimizes energy for generation of torque waveforms which realize minimum torque-change arm trajectory Fig Two schemes for learning inverse ... some performance index other than the above conditions We will propose such objective function in the next section It is worthwhile to evaluate computational schemes or neural network models for

Ngày tải lên: 28/04/2014, 10:16

... hypotheses. To this purpose, the use of Artificial Neural Networks has been proposed to represent and interpret the movement of upper limb. In this paper, a neural network approach to the modelling ... Figure 20 Adaptation of the neural controller to external forces Adaptation of the neural controller to external forces The upper figure shows the effect of a force, directed along the ... structure and the controller have been presented for a 2D [6] framework. In this context, there is an interest in the use of Artificial Neural Networks (ANN) because of their capabilities to adapt

Ngày tải lên: 19/06/2014, 10:20

... Kinuta, Setagaya, Tokyo, Japan Abstract. A neural network model for a mechanism of visual pattern recognition is proposed in this paper. The network is self-organized by "learning without ... If we could make a neural network model which has the same capability for pattern recognition as a human being, it would give us a powerful clue to the understanding of the neural mechanism ... patterns. Hence, their ability for pattern recognition was not so high. In this paper, we propose an improved neural network model. The structure of this network has been suggested by that

Ngày tải lên: 08/07/2014, 17:02

... (2001), Neural Network Forecasting of Canada GDP Growth, International journal of Forcasting, 17, 57-69 Guoqiang Zhang, B.Eddy Patuwo & Micheal Y.Hu, Forecasting with artificial neural networks: ... Meural Networks and Principal Component Analysis: Learning from Examples without Local Minima, Neural Network, 2, 53 58 15 Pengyi Shi, Zhuo Chen & Gaungming Xie (2006), Using Artificial neural network ... Developing neural network applications, Al Expert, 34-41 Curak Marijana, Klime Pososki & Curk Ivan, Forecasting economic growth using financial variables- Comparision of linear regression and neural network

Ngày tải lên: 24/11/2014, 01:42

... by neural network the type of neural network as well as the training algorithm should be chosen carefully The type of neural network in Figure 2.1 can be a MLP, a Radial Basis Networks ... 1985), an Elman network, a Jordan network (Jordan, 1986) and so on These neural networks are roughly classified into two categories: static neural networks and dynamic neural. .. the ... shows that neural networks, especially the Elman network, is a good tool for sensor fault detection and accommodation 1.4 Organization... static neural network for fault

Ngày tải lên: 26/11/2015, 22:57

... of features (that is data points with unknown class values) arrive for Table Network statistics of artificial neural network for dry-No Load condition No of neurons in hidden layer RMS error Training ... mathematical tools adopted for transient signals is the wavelet transform [22,23] Wavelet transform (WT) has attracted many researchers’ attention recently The wavelet transform was utilized to represent ... faults in a gear box [24] A neural network was used to diagnose a simple gear system after the data have been pre-processed by the wavelet transform [25] Wavelet transform was used to analyze the

Ngày tải lên: 04/04/2016, 22:35

... single-output networks were developed, the input being the control force and the output pendulum angle The first type of neural network to be developed are feedforward Feedforward networks with ... 1988 [5] Davalo, Naim Neural Networks, Macmillan [6] Hunt and Sbarbaro, ? ?Neural Networks for Control System - A Survey”, Automatica, Vol 28, 1992, pp 1083-1112 [7] Neural Network Toolbox Users ... a multi-output neural network which models the four outputs of the inverted pendulum A feedforward network with 100 hidden layer neurons was used to model the process The neural network developed

Ngày tải lên: 24/09/2016, 17:26

... discusses neural network models and their use in load forecasting First, a short general introduction to neural networks is given Then, the most popular network type, the Multi-Layer Perceptron network ... neural network models on short-term load forecasting The approach is comparative The models are divided into two classes: models forecasting the load for one whole day at a time, and models forecasting ... 19 Expert systems 20 NEURAL NETWORKS IN LOAD FORECASTING 21 3.1 MULTI-L AYER PERCEPTRON NETWORK (MLP) 22 Description of the network 22 Learning

Ngày tải lên: 21/10/2016, 09:21

... roughness in accurate, precise and affordable way Results pointed significant factors for network design have significant influence on network performance for the task proposed The work concludes ... under the format of files produced by the software package, containing the prediction of the networks for test cases The results were compiled to identify factor levels favouring network performance ... best network obtained for the 48 cases training set and that of the best networks obtained for 240 and 300 training cases On the other hand, the results show that the best network obtained for

Ngày tải lên: 25/11/2016, 21:54