By Topic

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on

Date 2000

Go

Filter Results

Displaying Results 1 - 25 of 107
  • A reconfigurable neural environment on active networks

    Publication Year: 2000, Page(s):105 - 108 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    This paper proposes the deployment of a neural network computing environment on Active Networks. Active Networks are packet-switched computer networks in which packets can contain code fragments that are executed on the intermediate nodes. This feature allows the injection of small pieces of codes to deal with computer network problems directly into the network core, and the adoption of new comput... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks - IJCNN 2000 [front matter]

    Publication Year: 2000, Page(s):i - xxxii
    Request permission for commercial reuse | PDF file iconPDF (4871 KB)
    Freely Available from IEEE
  • Representative evolution: a simple and efficient algorithm for artificial neural network evolution

    Publication Year: 2000, Page(s):585 - 590 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (481 KB)

    In this study a new evolutionary algorithm, i.e., representative evolution (RE), for evolving artificial neural networks (ANN) is proposed. Unlike most of the evolutionary algorithms, the RE uses population information for generating variations in individuals of a population. An evolutionary system, i.e., RENet, based on the RE for evolving feedforward artificial neural networks with weight learni... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 4th International Conference on Adhesive Joining and Coating Technology in Electronics Manufacturing. Proceedings. Presented at Adhesives in Electronics 2000 (Cat. No.00EX431)

    Publication Year: 2000
    Request permission for commercial reuse | PDF file iconPDF (689 KB)
    Freely Available from IEEE
  • Author index

    Publication Year: 2000, Page(s):649 - 659
    Request permission for commercial reuse | PDF file iconPDF (761 KB)
    Freely Available from IEEE
  • Intelligent call transfer based on reinforcement learning

    Publication Year: 2000, Page(s):120 - 123 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    This paper presents an application of reinforcement Q-learning in solving the problem of an automatic call transfer. Given outcomes are the results of simulations. A potential problem has been detected in a telecommunication call center in which a particular association of agents is applied to serve large number of the incoming calls. The main idea presented here is the adaptation of the current c... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An enhanced fuzzy neuron controller for curved search neural network learning

    Publication Year: 2000, Page(s):535 - 540 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    The performance of the fuzzy-controlled curved search method depends heavily on the membership functions of the categories of output error and step length used in the controller. We present a fuzzy neuron controller of backpropagation training algorithms for neural networks. With the objective of reducing tuning time, we introduce a self-adaptive fuzzy neuron controller for determining the size of... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Recursive non linear models for on line traffic prediction of VBR MPEG coded video sources

    Publication Year: 2000, Page(s):114 - 119 vol.6
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB)

    Any performance evaluation of broadband networks requires modeling of the actual network traffic. Since multimedia services and especially MPEG coded video streams are expected to be a major traffic component over these networks, modeling of such services and traffic prediction are useful for the reliable operation of the broadband based an Asynchronous Transfer Mode (ATM) networks. In this paper,... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust function approximation using fuzzy rules with ellipsoidal regions

    Publication Year: 2000, Page(s):529 - 534 vol.6
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    Discusses robust function approximation when the Takagi-Sugeno type model is used for the consequent part of fuzzy rules. With this model, the parameters of the linear equation that defines the output value of the fuzzy rule are determined by the least-squares method. Therefore, if the training data include outliers, the method fails to determine the parameter values correctly. To overcome this pr... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Simulating the evolution of 2D pattern recognition on the CAM-Brain Machine, an evolvable hardware tool for building a 75 million neuron artificial brain

    Publication Year: 2000, Page(s):606 - 609 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    This paper presents some simulation results of the evolution of 2D visual pattern recognizers to be implemented very shortly on real hardware, namely the “CAM-Brain Machine” (CBM), an FPGA based piece of evolvable hardware which implements a genetic algorithm (GA) to evolve a 3D cellular automata (CA) based neural network circuit module, of approximately 1,000 neurons, in about a secon... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Neural network in fast simulation modelling

    Publication Year: 2000, Page(s):109 - 113 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    This paper proposes a new application of neural networks in telecommunications network simulation. A high-level abstracted analytical model, based on intensive investigation of packet queuing behaviour substantially speeds up the basic simulation. Comparing the results from the model against the behaviour of a testbed leads to some difference between the model results and the experimental validati... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Using Hopfield networks to solve traveling salesman problems based on stable state analysis technique

    Publication Year: 2000, Page(s):521 - 526 vol.6
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    We have elsewhere developed a general method called the stable state analysis technique to determine constraints that the weights in the Hopfield energy function must satisfy so that valid solutions of high quality can be always obtained. In this paper, the effectiveness of this method is demonstrated through a reinvestigation of the capability of the Hopfield neural net (HNN) to solve the traveli... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive RBF classifier for object recognition in image sequences

    Publication Year: 2000, Page(s):600 - 605 vol.6
    Cited by:  Papers (3)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    This paper presents an adaptive NN-RBF classifier developed for object recognition under continuously time-varying perceptual conditions. The classifier is a hybrid of a neural net and a control environment. Adaptability of the classifier involves processes of image analysis, reinforcement generation, and classifier modification. An NN-RBF classifier is applied to a single image of a sequence. A f... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Morphological neural networks for robust visual processing in mobile robotics

    Publication Year: 2000, Page(s):140 - 143 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB)

    Morphological Neural Networks (MNN) have been proposed as associative (with its two cases: autoassociative and heteroassociative) memories. In this paper we are involved with Heteroassociative MNN (HMNN). We propose their utilization as a preprocessing step for human shape detection, in a vision-based navigation problem for mobile robots. MNN can be trained in a single computing step, they possess... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Dynamical analysis of an oscillatory cortical neural network

    Publication Year: 2000, Page(s):434 - 439 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    We perform the stability and bifurcation analysis of an oscillatory cortical network. An explicit stability constraint for the individual coupling strength between oscillatory units is given, which, if satisfied, ensures the stability of the background fixed-point state. It is shown that, under increasing levels of input, departures from the fixed point occur as a result of a supercritical Hopf bi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Neural global router

    Publication Year: 2000, Page(s):515 - 520 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    A grid based neural network global router to route nets in presence of obstacles is presented. This algorithm can handle obstacles of equal height and different widths. It can be used for routing in gate arrays, FPGAs and standard cell layout. A neural model to avoid routing of wire through crowded region is suggested. This is used to rip up and reroute the wire which passes through the crowded re... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Neural network realization of support vector methods for pattern classification

    Publication Year: 2000, Page(s):411 - 416 vol.6
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB)

    We apply a recurrent neural network to support vector machine (SVM) training for pattern recognition. Specifically, a primal-dual neural network is exploited to solve the quadratic programming problem encountered in training SVMs. The properties of the network allow one to design SVMs without adjustable network parameters and give a better solution for ill-posed problems View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Cash flow forecasting using supervised and unsupervised neural networks

    Publication Year: 2000, Page(s):343 - 347 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    Examines the use of neural networks as both a technique for pre-processing data and forecasting cash flow in the daily operations of a financial services company. The problem is to forecast the date when issued cheques will be presented by customers, so that the daily cash flow requirements can be forecast. These forecasts can then be used to ensure that appropriate levels of funds are kept in the... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The role of weight domain in evolutionary design of multilayer perceptrons

    Publication Year: 2000, Page(s):596 - 599 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    Among different models of neural networks multilayer perceptrons play an important role. Most training methods, including back-propagation concentrate on weight adjustment only. Still the performance of the network strongly depends on its architecture. In our paper the algorithm based on evolutionary programming is proposed. Unlike most other methods of this type, the genotype precision is being e... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust visual recognition with high-order Gaussian synapses networks

    Publication Year: 2000, Page(s):135 - 139 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    In the context of visual systems for robots, we have made use of a high order gaussian synapses network and the Gaussian Synapses Backpropagation Algorithm (GSBP) for the implementation of the detectors that constitute one part of the whole visual architecture. These detectors are trained to be sensitive to spatial patterns that are relevant for the decisions the robot must perform during its oper... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • What are the main functional blocks involved in the design of adaptive neuro-fuzzy inference systems?

    Publication Year: 2000, Page(s):551 - 556 vol.6
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    Because there are many possibilities for the set of basic functions, parameters and operators used in the design of an adaptive-network-based fuzzy inference system (ANFTS), the search for the most suitable operators and functional blocks, together with their characterization and evaluation, is also an important topic in the field of neuro-fuzzy design. As shown in papers dealing with real applica... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The growing hierarchical self-organizing map

    Publication Year: 2000, Page(s):15 - 19 vol.6
    Cited by:  Papers (50)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    We present the growing hierarchical self-organizing map. This dynamically growing neural network model evolves into a hierarchical structure according to the requirements of the input data during an unsupervised training process. We demonstrate the benefits of this novel neural network model by organizing a real-world document collection according to their similarities View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Study of a sequence of neural oscillators

    Publication Year: 2000, Page(s):429 - 433 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    We present the study of the behavior of an homogeneous linear array of two neural oscillators, with the objective of determining the characteristics of the oscillatory state of the circuit, as well as the effect of some of the parameters of the circuit on the oscillatory behavior. We show the different responses that can be obtained from this kind of circuits View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Text independent speaker verification using modular neural network

    Publication Year: 2000, Page(s):97 - 102 vol.6
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (212 KB)

    This work addresses the data balancing problem of the existing neural network based speaker verification methods, and proposes new method using modular neural network. In this method, each expert network is trained with the balanced number of genuine speaker data and imposter speaker data. In our experiments, we obtained high performance results for the unknown imposter speakers. High performance ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A noise-robust front-end based on tree-structured filter-bank for speech recognition

    Publication Year: 2000, Page(s):81 - 86 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (536 KB)

    This paper presents a new model of auditory preprocessors based on tree structured filter-banks to provide the robustness to noise and the ease of hardware implementation. The robustness to noise is further improved by two components: one is the adaptive Q control of filter-bank in the sense of enhancing the contrast between frequency channels and another is the adaptive gain control of filter-ban... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.