％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％ ％ Given a set of corresponding input-output pairs and an initial ％ network, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
標(biāo)簽： Levenberg-Marquardt desired network neural
上傳時(shí)間： 2016-12-27
上傳用戶：jcljkh
This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models of dynamic systems. That is networks ％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive ％ counterparts.
標(biāo)簽： function strategy Optimal Surgeon
上傳時(shí)間： 2013-12-19
上傳用戶：ma1301115706
Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully ％ connected) networks can be trained. ％ ％ The activation functions can either be linear or tanh. The network ％ architecture is defined by the matrix NetDef , which has of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer.
標(biāo)簽： recursive prediction algorithm Gauss-Ne
上傳時(shí)間： 2016-12-27
上傳用戶：ljt101007
This document provides guidelines and describes how to easily port S60 2nd Edition C++ applications to S60 3rd Edition. The document has been written based on experiences of porting regular S60 2nd Edition applications, such as the S60 Platform: POP/IMAP Example [4] that can be downloaded from Forum Nokia. Code snippets from the example are shown in Chapter 8, “Application build changes,” and in Appendix A, “Code example." In addition, Appendix B, "Commonly used functions that require capabilities," and Appendix C, "Commonly used interfaces that have been changed or removed," provide useful information on some frequently used functions and interfaces in third-party applications.
標(biāo)簽： application guidelines describes document
上傳時(shí)間： 2017-01-29
上傳用戶：wang5829
We analyze, both analytically and numerically, the effectiveness of cloaking an infinite cylinder from observations by electromagnetic waves in three dimensions. We show that, as truncated approximations of the ideal permittivity and permeability tensors tend towards the singular ideal cloaking fields, so that the anisotropy ratio tends to infinity, the D and B fields blow up near the cloaking surface. Since the metamaterials used to implement cloaking are based on effective medium theory, the resulting large variation in D and B will pose a challenge to the suitability of the field averaged characterization of " and 碌. We also consider cloaking with and without the SHS (softand- hard surface) lining, shown in [6] to be theoretically necessary for cloaking in the cylindrical geometry. We demonstrate numerically that cloaking is significantly improved by the SHS lining, with both the far field of the scattered wave significantly reduced and the blow up of D and B prevented.
標(biāo)簽： effectiveness analytically numerically cloaking
上傳時(shí)間： 2017-03-30
上傳用戶：zxc23456789
Creating barcodes in Microsoft廬 Office has never been easier. With BarCodeWiz Toolbar you can add barcodes to Microsoft廬 Office applications with a click of a button. In Microsoft廬 Word, create single barcodes, pages of labels, or mail merge documents. In Microsoft廬 Excel廬, select a range of cells and automatically convert each cell to a barcode. In Microsoft廬 Access廬, create reports with barcodes based on your data tables.
標(biāo)簽： BarCodeWiz Microsoft Creating barcodes
上傳時(shí)間： 2013-12-18
上傳用戶：asddsd
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
標(biāo)簽： foundations The consists sections
上傳時(shí)間： 2017-06-22
上傳用戶：lps11188
Blocking CoThe aim of this toolbox is to compute blocking probabilities in WDM networks. This work was based on [1], [2], [3], [4] and user is referred to those papers for deeper study. Because WDM networks are circuit switched loss networks blocking may occur because of lack of resources.Computation in WDM Networks Toolbox
標(biāo)簽： probabilities Blocking blocking networks
上傳時(shí)間： 2014-01-14
上傳用戶：iswlkje
Abstract—Stable direct and indirect decentralized adaptive radial basis neural network controllers are presented for a class of interconnected nonlinear systems. The feedback and adaptation mechanisms for each subsystem depend only upon local measurements to provide asymptotic tracking of a reference trajectory. Due to the functional approximation capabilities of radial basis neural networks, the dynamics for each subsystem are not required to be linear in a set of unknown coeffi cients as is typically required in decentralized adaptive schemes. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds.
標(biāo)簽： decentralized controllers Abstract adaptive
上傳時(shí)間： 2017-08-17
上傳用戶：gdgzhym
David Vernon is the Coordinator of the European Network for the Advancement of Artificial Cognitive Systems and he is a Visiting Professor of Cognitive Systems at the University of Genoa. He is also a member of the management team of the RobotCub integrated working on the development of open-source cognitive humanoid robot. Over the past 27 years, he has held positions at Westinghouse Electric, Trinity College Dublin, the European Commission, the National University of Ireland Maynooth, Science Foundation Ireland, and Etisalat University College. He has authored two and edited three books on computer vision and has published over eighty papers in the fields of Computer Vision, Robotics, and Cognitive Systems. His research interests include Fourier-based computer vision and enactive approaches to cognition. He is currently a Professor at Etisalat University College in Sharjah-United Arab Emirates, focusing on Masters programs by research in Computing fields.".[1]
標(biāo)簽： the Coordinator Advancement Artificial
上傳時(shí)間： 2014-01-08
上傳用戶：netwolf
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