... Programming Neural Networks with Encog 2 in Java vi Programming Neural Networks with Encog 2 in Java Publisher: Heaton Research, Inc Programming Neural Networks with Encog ... Solving with Neural Networks 20 Structure of the Book 22 Chapter 1: Introduction to Encog 27 What is a Neural Network? 28 Using a Neural Network 32 Chapter 2: Building Encog Neural Networks ... Programming Neural Networks with Encog 2 in Java xx Programming Neural Networks with Encog 2 in Java network structures without the need to know how the underlying neural network code...
Ngày tải lên: 29/04/2014, 14:54
... Understanding Neural Networks Article Title: Chapter 2: Understanding Neural Networks Category: Artificial Intelligence Most Popular From Series: Programming Neural Networks in Java Posted: ... particularly sure what final outcome is being sought. Neural networks are often employed in data mining do to the ability for neural networks to be trained. Neural networks can also be used ... Title: Chapter 2: Understanding Neural Networks Category: Artificial Intelligence Most Popular From Series: Programming Neural Networks in Java Posted: Wednesday, November 16, 20 05 05:14 PM ...
Ngày tải lên: 14/02/2014, 20:20
Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf
... should be divided into several sets (training, testing, production, on-line, remaining). The training set is used to adjust the interconnection weights of the MPNN model. The testing set is used ... (1993). A neural network-based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain. Atmospheric Environment, B 27 (2) , pp. 22 1 -23 0. ... (West), Shanghai, 20 0040, China Phone: +86 -21 - 624 89 820 Fax: +86 -21 - 624 89 821 Leading air quality professionals describe different aspects of air pollution. The book presents information on four...
Ngày tải lên: 29/03/2014, 21:20
báo cáo hóa học: " Synchronization of nonidentical chaotic neural networks with leakage delay and mixed timevarying delays" pptx
... stochastic delayed neural networks. Physica A 20 07, 373 :25 2 -26 0. 22 . Yan JJ, Lin JS, Hung ML, Liao TL: On the synchronization of neural networks containing time-varying delays and sector nonlinearity. ... 10 20 30 40 50 60 25 20 í15 í10 í5 0 5 10 15 20 25 t z1 z1 0 10 20 30 40 50 60 í30 20 í10 0 10 20 30 t z2 z2 Figure 3 State trajectory of z 1 (t) and z 2 (t) of neural network (3). 25 20 ... 60 í10 í8 í6 í4 2 0 2 4 6 8 10 t y2 y2 Figure 1 State trajectory of y 1 (t) and y 2 (t)of neural network (1). 25 20 í15 í10 í5 0 5 10 15 20 25 í30 20 í10 0 10 20 30 z1 z2 Figure 2 Phase trajectory of neural...
Ngày tải lên: 21/06/2014, 02:20
Báo cáo hóa học: "Research Article µ-Stability of Impulsive Neural Networks with Unbounded Time-Varying Delays and Continuously Distributed Delays" doc
... S 11 S 12 S 21 S 22 > 0, 2. 7 where S T 11 S 11 ,S T 22 S 22 , is equivalent to any one of the following conditions: 1 S 22 > 0,S 11 − S 12 S −1 22 S T 12 > 0; 2 S 11 > 0,S 22 − S T 12 S −1 11 S 12 > ... to impulsive neural networks with unbounded time-varying and continuously distributed delays. Remark 3.3. In 23 , 24 , the authors have studied μ-stability for neural networks with unbounded time-varying ... Hindawi Publishing Corporation Advances in Difference Equations Volume 20 11, Article ID 4378 42, 12 pages doi:10.1155 /20 11/4378 42 Research Article µ-Stability of Impulsive Neural Networks with Unbounded...
Ngày tải lên: 21/06/2014, 05:20
Báo cáo hóa học: " Research Article Existence and Stability of Antiperiodic Solution for a Class of Generalized Neural Networks with Impulses and Arbitrary Delays on Time Scales" ppt
... evolution equations with discontinuous nonlinearities,” Nonlinear Analysis, vol. 43, pp. 23 3 25 1, 20 01. 28 J. Y. Shao, “Anti-periodic solutions for shunting inhibitory cellular neural networks with time-varying delays,” ... a m 1 10,a M 1 11,a m 2 11,a m 2 12, L a 1 L a 2 2/ π, L b 1 L b 2 1/100,c M 1 1/1000,c M 2 1/1000,L I 11 L I 21 L I 12 L I 22 1/500, and μ 1 μ 2 1/100. It is obvious ... generalized neural networks with impulses and arbitrary delays. This class of generalized neural networks include many continuous or discrete time neural networks such as, Hopfield type neural networks, ...
Ngày tải lên: 21/06/2014, 07:20
Báo cáo hóa học: " Research Article Global Exponential Stability of Delayed Cohen-Grossberg BAM Neural Networks with Impulses on Time Scales" pot
Ngày tải lên: 22/06/2014, 02:20
On exponential stability of bidirectional associative memory neural networks with time-varying delays ppt
Ngày tải lên: 06/07/2014, 21:20
Báo cáo y học: "Passive immunotherapy for influenza A H5N1 virus infection with equine hyperimmune globulin F(ab'''')2 in mice" pdf
Ngày tải lên: 12/08/2014, 16:20
Quality of Life in Women with Gynecologic Cancer in Turkey pdf
... ≥500$ 27 .8 28 .6 p=0 .22 2 23 .1 27 .5 p=0.054 6.4±14.3 p=0.148 22 .2 24 .9 p=0 .28 7 Type of cancer Endometrial 20 .3 20 .9 25 .2 26 .6 9.8±18.6 24 .4 25 .8 Cervical 31.5±30.3 K=1.388 40.3 26 .2 K=10. 829 8.8±15.1 ... 60.4 23 .6 p=0.5 32 72. 5 23 .1 p=0.046 76 .2 25 .0 p=0. 922 63.3 29 .3 p=0.101 84.9±19 .2 p=0.050 70.0 24 .9 p=0.530 Type of cancer Endometrial 61.6 21 .1 K=11.789 71.6 22 .9 K =2. 1 52 80.9 24 .6 K=8 .29 2 67.5 20 .4 ... 26 .3 28 .7 p=0.393 27 .8 27 .7 p=0. 124 8.6±16.6 p=0.381 23 .5 26 .6 p=0. 422 Income level t= -1 .22 8 t= 1.949 t= 1.463 t= 1.069 <500$ 21 .1 26 .6 df=117 33.3 26 .9 df=117 11.4±19 .2 df=63.873 27 .6 28 .8...
Ngày tải lên: 28/03/2014, 14:20
Báo cáo hóa học: " Improving TCP Performance over Wireless Ad Hoc Networks with Busy Tone Assisted Scheme" pdf
Ngày tải lên: 22/06/2014, 22:20
Tài liệu Báo cáo Y học: Prediction of protein–protein interaction sites in heterocomplexes with neural networks ppt
... 20 01, accepted 7 January 20 02) Eur. J. Biochem. 26 9, 1356–1361 (20 02) Ó FEBS 20 02 sequence profile. This is the s ame as including the residue conservation in the contact surface in the protein ... 1998) Interaction of the Hsp70 molecular chaperone, DnaK, with its cochaperone DnaJ. Biochemistry 95, 1 522 3–1 522 8. Ó FEBS 20 02 Predicting protein–protein interaction sites (Eur. J. Biochem. 26 9) ... Vidal, M. (20 00) Protein interacti on mapping in C. elegans using proteins involved in vulval development. Science 28 7, 116– 122 . 5. Hubsman, M., Yudkovsky, G. & Aronheim, A. (20 01) A novel approach...
Ngày tải lên: 21/02/2014, 15:20
an introduction to encog neural networks for java - codeproject
... combined to create the training data for the XOR operator. The following line of code combines these two arrays to create training data: NeuralDataSet trainingSet = new BasicNeuralDataSet(XOR_INPUT, ... » Neural Networks An Introduction to Encog Neural Networks for Java By JeffHeaton, 17 Jan 20 10 Download source code - 306 KB Introduction This article provides a basic introduction to neural networks ... latest Encog JAR from the URL provided earlier in this article. Neural networks must be trained before they are of any use. To train this neural network, me must provide training data. The training...
Ngày tải lên: 28/04/2014, 10:10
comparing neural networks in neuroph, encog and joone - codeproject
... take considerably more training iterations. We begin by creating a training set. TrainingSet trainingSet = new TrainingSet (2, 1); trainingSet.addElement(new SupervisedTrainingElement (new double[]{0, ... Error:0 .20 5669 125 05617155 Epoch #6 Error:0.17638897570315684 Epoch #7 Error:0. 028 37366 823 15319 72 Epoch #8 Error:0. 026 2589 521 79473653 Epoch #9 Error:0. 023 24407864 627 2336 Epoch #10 Error:0. 021 221 88186634 327 3 Epoch ... General Programming » Algorithms & Recipes » Neural Networks Comparing Neural Networks in Neuroph, Encog and JOONE By taheretaheri, 2 Jun 20 10 Download source - 3.5 MB Introduction In this...
Ngày tải lên: 28/04/2014, 10:10