vector models of neural networks

... investigations of neural networks, both in dynamics analysis and applications 1.2 Scope and Contributions One focus of the thesis lies on the improvement of the training algorithm of feedforward neural networks ... this side, the complexity and capability of modeled neural networks rely on our present understanding of biological neural systems On the other hand, neural networks provide efficient computation methods ... 171 xiii Chapter Introduction Artificial neural networks, or simply called neural networks, refer to various mathematical models of human brain functions such as perception, computation...

Ngày tải lên: 16/09/2015, 17:13

... and most of all on their fear of being cast out of the Tontine Cameroonian banks are reluctant to take risks so most people rely on Tontines to overcome loss of income and, in the case of small ... their investigation of loan granting decisions comparable results for neural networks and decision trees across five different data-sets A neural network is a system made of highly interconnected ... lending for an estimated 90% of total consumer credit Such a profile is arguably attributable, firstly to the absence of small lines of credit otherwise conveniently offered by credit cards and...

Ngày tải lên: 26/09/2015, 12:03

... the reliance of the ANN Fig Flow chart for programming of the artificial neural network DESIGN ARTIFICIAL NEURAL NETWORK MODEL VERIFICATIONS OF MANN MODEL Neural networks are computer models that ... properties of the soil used for training of the MANN models are shown in Table Class Relative Importance (%) Table Properties of the soil used for learning of the MANN models Range of values Water ... database for the physical properties of the soil and results of consolidation test, to learn the database, and to predict the properties of consolidation SELECTION OF STRAIN RATE r= V − Vmin Vmax...

Ngày tải lên: 22/03/2013, 15:01

... cases of false predictions with high values of reliability index, by comparing with the presently available data base of interacting complexes the accuracy may be biased by the lack of knowledge of ... approximation of the local surface Each residue in the input window is coded as a vector of 20 elements, whose values are taken from the corresponding frequencies in the multiple sequence alignment of the ... context of nearest neighbours Moreover, the code of each residue is determined by its position in the Ó FEBS 2002 1358 P Fariselli et al (Eur J Biochem 269) Table Scoring the efficiency of the neural...

Ngày tải lên: 21/02/2014, 15:20

... potential drawback of multiplicative models is the effect of components with value zero Since the product of zero with any number is itself zero, the presence of zeroes in either of the vectors leads ... deeper understanding of vector composition, both in terms of modeling a wider range of structures (e.g., adjectivenoun, noun-noun) and also in terms of exploring the space of models more fully We ... function of the tensor product of u and v, then we obtain multiplicative models: p = Cuv (4) where C is a tensor of rank 3, which projects the tensor product of u and v onto the space of p Further...

Ngày tải lên: 23/03/2014, 17:20

... Classification of First-Order Recurrent Neural Networks 143 class of rational-weighted first-order recurrent neural networks made up of McCulloch and Pitts cells, and provide a refined classification of the networks ... here, the issue of the expressive power of neural networks is approached from the point of view of the theory of automata on infinite words, and it is proved that first-order recurrent neural More ... Neural Networks and Muller Automata In this section, we provide an extension of the classical result stating the equivalence of the computational capabilities of first-order recurrent neural networks...

Ngày tải lên: 28/04/2014, 09:49

... Turing universality of neural networks to a more general class of sigmoidal activation functions [7] On the other hand, the field of continuous-valued neural computation – or analog neural computation ... the concept of analog recurrent neural networks as standard in the field of analog computation [9] However, in both digital or continuous approaches, the computational behavior of the networks has ... Hence, the consideration of the same model of synchronous analog neural networks as theirs appears to be a natural first step in this direction The precise definition of this neural model is the following...

Ngày tải lên: 28/04/2014, 09:49

... some of the features of ANN and MMC models that we have rated and compared with humans The comparison suggests that MMC models, particularly MMC/ANN hybrids, may be better suited as models of the ... submodel in terms of the subservices, thus reducing the dimension of C by submatricing The process can be continued on the simplified C, creating a hierarchy of models and submodels that represents ... Artificial Neural Networks with MMC models The Theorem of Universality for the MMC states that “Every finitely realizable physical system can be perfectly represented by a Matrix Model of Computation”...

Ngày tải lên: 28/04/2014, 10:06

... Turing universality of neural networks to a more general class of sigmoidal activation functions [7] On the other hand, the field of continuous-valued neural computation – or analog neural computation ... the concept of analog recurrent neural networks as standard in the field of analog computation [9] However, in both digital or continuous approaches, the computational behavior of the networks has ... Hence, the consideration of the same model of synchronous analog neural networks as theirs appears to be a natural first step in this direction The precise definition of this neural model is the following...

Ngày tải lên: 28/04/2014, 10:06

... Tour of Brain Theory and Neural Networks 25 How to Use Part II 27 II.1 The Meta-Map 27 II.2 Grounding Models of Neurons and Networks 29 Grounding Models of Neurons 29 Grounding Models of Networks ... of data and the construction of models are brought together.) II.2 Grounding Models of Neurons and Networks The first two road maps expand the exposition of Part I by presenting basic models of ... EVOLUTION AND LEARNING IN NEURAL NETWORKS EVOLUTION OF ARTIFICIAL NEURAL NETWORKS EVOLUTION OF GENETIC NETWORKS EVOLUTION OF THE ANCESTRAL VERTEBRATE BRAIN HIPPOCAMPUS: SPATIAL MODELS 32 Part II: Road...

Ngày tải lên: 11/06/2014, 16:35

... organization of a set of patterns (vector of measurements or a point in a d-dimensional space) into clusters based on similarity [30] In the context of image segmentation, the set of patterns ... detection and/or classification of MCs, but the interpretation of MCs continues to be a Figure Block diagram of the proposed method Page of 11 difficult task mainly because of their fuzzy nature, low ... point zk and the cluster vi is an indicator of the distance of the data points from their cluster prototypes V = [v1, v2, , vk] is the vector of prototypes of the c clusters, which are calculated...

Ngày tải lên: 20/06/2014, 22:20

... time of delayed neural networks with infinite gain IEEE Trans Neural Netw 2005, 16:1449-1463 Chen TP, Lu WL, Chen GR: Dynamical behaviors of a large class of general delayed neural networks Neural ... exponential stability of recurrent neural networks with timevarying delays IEEE Trans Neural Netw 2006, 17:623-35 10 Wang ZS, Zhang HG, Yu W: Robust stability of Cohen-Grossberg neural networks via state ... exponential H∞ synchronization of a class of delayed neural networks Chaos Soliton Fract 2009, 41:1125-1135 25 Lu JG, Chen GR: Global asymptotical synchronization of chaotic neural networks by output feedback...

Ngày tải lên: 21/06/2014, 02:20

... applied to neural networks with unbounded time-varying delays Moreover, few results have been reported in the literature concerning the problem of μ-stability of impulsive neural networks with ... upper bound of the derivative of time-varying delay and the delay kernels hj , j ∈ Λ, and independent of the range of time-varying delay Thus, it can be applied to impulsive neural networks with ... asymptotic stability of delayed Hopfield neural networks, ” Neurocomputing, vol 69, no 16–18, pp 2374–2378, 2006 10 V Singh, “On global robust stability of interval Hopfield neural networks with delay,”...

Ngày tải lên: 21/06/2014, 05:20

... neural networks such as, Hopfield type neural networks, cellular neural networks, Cohen-Grossberg neural networks, and so on To the best of our knowledge, the known results about the existence of ... stability of anti-periodic solutions for a class of generalized neural networks with impulses and arbitrary delays This class of generalized neural networks include many continuous or discrete time neural ... Cohen-Grossberg neural networks with multiple delays,” Neurocomputing, vol 73, no 1-3, pp 213–218, 2009 J Zhang and Z Gui, “Existence and stability of periodic solutions of high-order Hopfield neural networks...

Ngày tải lên: 21/06/2014, 07:20

... synchronization of a class of neural networks with reaction-diffusion terms and time-varying delays Comput Math Appl 52, 897– 904 (2006) [25] Wang, Y, Cao, J: Synchronization of a class of delayed neural networks ... analysis of chaotic neural network models for combinatorial optimization under a unifying framework Neural Netw 13, 731–744 (2000) [3] Yu, W, Cao, J: Cryptography based on delayed chaotic neural networks ... consisting of a small number of cells, NNs usually have a spatial extent due to the presence of a multitude of parallel pathways with a variety of axon sizes and lengths Thus, there is a distribution of...

Ngày tải lên: 21/06/2014, 17:20

... impact on the expressiveness of the computed measures Out of the results of the analysis of the measures and the presentation of desirable modifications, a subset of expedient measures is proposed ... deterioration of this metric in merge situations Thus, it can be used to test the capabilities of the system to separately detect single objects, which is of major importance in cases of groups of objects ... trajectory of the object’s center of gravity at time i and N is the amount of elements Variance of object gravity center distance (VGCD) [15] (81) where #CC( j) and #FC( j) are the number of correctly,...

Ngày tải lên: 22/06/2014, 00:20

... interpolation): out of 16 packets lost; out of 16 packets lost; 12 out of 16 packets lost; (Column 2, before interpolation): out of packets lost; out of packets lost; and out of packets lost; (Column ... interpolation): out of 16 packets lost; out of 16 packets lost; 12 out of 16 packets lost; (Column 4, after interpolation): out of packets lost; out of packets lost; and out of packets lost Next, ... nine models The nine models have different densities, with number of vertices varying from 428 to 5000 We considered different levels of packet loss as well The numbers of lost packets (out of 16)...

Ngày tải lên: 22/06/2014, 00:20

... exponential stability of Cohen-Grossberg neural networks, ” Neural Networks, vol 17, no 10, pp 1401–1414, 2004 L Rong, “LMI-based criteria for robust stability of Cohen-Grossberg neural networks with ... “Exponential stability of Cohen-Grossberg neural networks, ” Neural Networks, vol 15, no 3, pp 415–422, 2002 L Wang and X Zou, “Harmless delays in Cohen-Grossberg neural networks, ” Physica D, vol ... delays,” IEEE Transactions on Neural Networks, vol 15, no 1, pp 203–205, 2004 W Lu and T Chen, “New conditions on global stability of Cohen-Grossberg neural networks, ” Neural Computation, vol 15,...

Ngày tải lên: 22/06/2014, 02:20

... presence of WLAN (DS-CDMA), presence of Bluetooth (FH-CDMA), presence of both, and presence of noise only Having two kinds of TF distributions, two different training vectors for each network have been ... in the range of 3–7 m But, when the user is closer to one of the sources, d < m (closeness of Bluetooth) and d > m (closeness of WLAN), the features are very similar to the ones of the nearest ... 1790 Carlo S Regazzoni is Associate Professor of telecommunications at the Department of Biophysical and Electronic Engineering (DIBE) of the University of Genoa He obtained the Laurea degree...

Ngày tải lên: 23/06/2014, 01:20

... existence of periodic solutions of BAM neural networks with variable coefficients Phys Lett A 2003;317:97–106 [6] Cao J Global asymptotic stability of delayed bi-directional associative memory neural networks ... exponential stability analysis of delayed neural networks: an LMI approach Neural Networks 2002;15:855–66 [23] Yucel E, Arik S New exponential stability results for delayed neural networks with time varying ... stability of high-order bidirectional associative memory neural networks with time delay Physica D 2004;199:425–36 [21] Park JH A novel criterion for global asymptotic stability of BAM neural networks...

Ngày tải lên: 06/07/2014, 21:20