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1991 Second International Conference on Artificial Neural Networks

18-20 Nov. 1991

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Displaying Results 1 - 25 of 82
  • Homotopy continuation method for neural networks

    Publication Year: 1991, Page(s):19 - 23
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (234 KB)

    This paper proposes the use of homotopy continuation method for training the neural networks. Homotopy methods have been demonstrated to be superior to gradient descent methods in many applications such as nonlinear optimization problems, mathematical analysis, and more recently, signal processing. The power of these methods lies in their ability to provide globally convergent solutions, and under... View full abstract»

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  • Operational fault tolerance of the ADAM neural network system

    Publication Year: 1991, Page(s):285 - 289
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (469 KB)

    Neural networks offer a powerful parallel distributed computational system which can be trained to solve many problems. They also appear to be inherently fault tolerant. This is unlike a conventional computing system where fault tolerance is achieved by redundancy, thus increasing its overall complexity. The fault tolerance of the advanced distributed associative memory neural network (ADAM) is in... View full abstract»

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  • On the geometry of feedforward neural network weight spaces

    Publication Year: 1991, Page(s):1 - 4
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (220 KB)

    As is well known, many feedforward neural network architectures have the property that their overall input-output function is unchanged by certain weight permutations and sign flips. The existence of these properties implies that if a global optimum of the network performance surface exists at some finite weight vector position, then many copies of a global minimum can be generated by geometric we... View full abstract»

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  • A framework of hierarchy for neural theory

    Publication Year: 1991, Page(s):237 - 241
    Cited by:  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (344 KB)

    Describes a framework of hierarchy within which representations of neural functions and data may be transformed from level to level. Within this framework, the function of a neural system may be abstracted above the primitive level so that it may be understood at arbitrary higher conceptual levels. The framework is natural to neural systems in that representations are completely distributed at eac... View full abstract»

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  • HPS signals detection using neural network adaptive filter

    Publication Year: 1991, Page(s):234 - 236
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (132 KB)

    The recent research in HPS signal detection has focused on beat-to-beat measurement. Most of the applied methods rely on linear adaptive filters. In the paper the use of nonlinear adaptive filters based on a recurrent neural network is proposed. Two training algorithms are briefly described View full abstract»

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  • A rule-based dynamic back-propagation (DBP) network

    Publication Year: 1991, Page(s):170 - 174
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (292 KB)

    The paper presents and explains experiments performed on a neural network paradigm which works on the Back-Propagation (BP) formula together with additional rules for modifying the net structure. The function of the rules is to control the number of hidden units and their interconnections of a BP net. Hence, the net is capable of `evolving' into the optimal topology itself without interference fro... View full abstract»

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  • The application of neural networks to cognitive phonetic modelling

    Publication Year: 1991, Page(s):280 - 284
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (176 KB)

    A neural network is used to generate control parameters for a parallel formant speech synthesizer, corresponding to a sequence of allophonic tokens. Training is to be accomplished using formant data obtained from both natural and synthetic speech. It is intended that theories of cognitive phonetics, currently being developed in the Department of Language and Linguistics at the University of Essex ... View full abstract»

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  • Segmentation and recognition of calligraphic text

    Publication Year: 1991, Page(s):214 - 218
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (340 KB)

    Calligraphic Hebrew text was scanned using a conventional scanner yielding a facsimile type of image. This image was aligned into lines of symbols by taking pixel density histograms in many directions. Separation of overlapping lines and symbols was made using an edge detecting borderline follower technique. After finding and circumscribing the first symbol, a search was made for expected nearby i... View full abstract»

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  • Normalised hierarchical data structures for automatic target recognition

    Publication Year: 1991, Page(s):229 - 233
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (320 KB)

    A new method is presented that involves teaching an artificial neural network (advanced distributed associative memory ADAM) with a number of synthetic images resulting from a hierarchical data structure descriptor that characterises an object's 3D volume. The method results in a highly accurate recognition process that significantly reduces the duration of a generally time consuming training proc... View full abstract»

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  • Applications of artificial neural networks to reverse software engineering

    Publication Year: 1991, Page(s):163 - 169
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (468 KB)

    In this paper a system has been described that has been used to explore the application of ANN based technology to reverse software engineering (RSE). The demonstrator system has been trained to identify complex sort algorithms within large `real world' COBOL source listings. The ease with which the system can be extended, by training further neural networks to identify new algorithmic structures,... View full abstract»

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  • Building new layers on multi-layer perceptrons

    Publication Year: 1991, Page(s):276 - 279
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (280 KB)

    It is widely recognised that the more layers a multi-layer perceptron (MLP) has the longer it takes to train. This is due partly to the larger number of parameters to be calculated, but also to the fact that the back-propagated error is scaled by a number less than unity at each layer. The technique proposed in this paper allows a smaller (fewer layers) network to be created and (partially) traine... View full abstract»

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  • EEG analysis using self-organisation

    Publication Year: 1991, Page(s):210 - 213
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (216 KB)

    The electro-encephalogram (EEG) has formed the basis for the classification of sleep into several stages. The authors propose a method of sleep analysis which requires no pre-defined application of rules, and aims to give some indication of the dynamics of sleep in humans. The authors show that the use of a self-organising feature map has enabled clustering of feature vectors in a high dimensional... View full abstract»

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  • On temporal sequence storage

    Publication Year: 1991, Page(s):129 - 133
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (316 KB)

    Presents a theoretical analysis and a series of simulations of a method for temporal sequence storage. The method is based on the power of leaky integrator neurons to store previous inputs over a range of times in the past. The theory and simulations presented here agree for the particular training rule which is of the simplest kind: to train the output so as to look as close as possible like the ... View full abstract»

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  • Pattern recognition in position sensitive γ-ray detectors

    Publication Year: 1991, Page(s):107 - 111
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (256 KB)

    The NASA/ESA International Gamma-Ray Astrophysics Laboratory (INTEGRAL) γ-ray telescope satellite will use novel 3-dimensional readout position detectors and energy sensitive photon detectors. Their complexity means that significantly more raw data are generated than can be sent by conventional telemetry channels from satellite to Earth ground stations. The authors present the preliminary re... View full abstract»

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  • Analog CMOS modeling of invertebrate learning

    Publication Year: 1991, Page(s):49 - 53
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (368 KB)

    Analog CMOS circuits which model synaptic habituation, sensitization and classical conditioning found in the marine mollusc Aplysia are presented. These circuits are expected to be useful in artificial neural networks (ANNs) with higher-order synapses and learning rules that perform temporal association of multiple inputs. The investigation illustrates that biological synaptic learning in inverteb... View full abstract»

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  • Autoassociative neural network for speech processing

    Publication Year: 1991, Page(s):247 - 251
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (340 KB)

    Connectionist architectures are being studied from various perspectives and applied in diverse domains with promising performance. In the paper, the authors study MultiLayer Perceptron (MLP), one of the most widely used architectures, for generating alternative representations of speech signal. Speech is a highly redundant signal and hence efficient representation of speech signal that exploits th... View full abstract»

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  • Fast algorithms to find invariant features for a word recognizing neural net

    Publication Year: 1991, Page(s):180 - 184
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (284 KB)

    A short description of the feature finding neural net (FFNN) for the recognition of isolated words will be given. As has been shown elsewhere, during recognition mode FFNN is faster than the classical HMM and DTW recognizers and yields similar recognition rates. In this article the emphasis is placed on optimal and fast algorithms for selecting relevant features from the speech signal. By the grow... View full abstract»

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  • A comparison of two neural networks for hand-printed character recognition

    Publication Year: 1991, Page(s):224 - 228
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (376 KB)

    The paper explores the potential of neural networks in improving the state of the art in hand-printed character recognition (HPCR) using real-world data. Considerable attention is devoted to the pre-processing of the image, and the extraction of features, as this is at least as important as the final classifier. Careful attention is given to the interaction between these stages, particularly in th... View full abstract»

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  • Robot control using the feedback-error-learning rule with variable feedback gain

    Publication Year: 1991, Page(s):139 - 143
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (284 KB)

    A problem plaguing the application of neural networks in all fields is the difficulty of incorporating prior information to constrain the possible functions that the network can represent. This problem is addressed and solved in a robot control application. The authors present the numerical results of extensive simulations where the main interest is to investigate the generalization ability of the... View full abstract»

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  • A comparison of connectionist and traditional methods applied to phrase classification and grammaticality determination

    Publication Year: 1991, Page(s):190 - 194
    Cited by:  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (324 KB)

    Two sentence classification experiments are described. In the first, the neural net HODYNE is shown to be better than a keyword method at classifying banking phrases. In the second, three techniques are compared at determining the grammaticality of strings of syntactic tags from the LOB corpus: a method using the statistics of tag-pairs, HODYNE, and a multi-layer perceptron. HODYNE and the statist... View full abstract»

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  • Robot path planning using resistive grids

    Publication Year: 1991, Page(s):149 - 152
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (224 KB)

    The use of resistive grids for parallel analogue computation was first suggested by Horn, and has more recently been exploited successfully by Carver Mead and his co-workers at Caltech, for example for building silicon models of the retina. These resistive networks cannot strictly be described as `neural networks' in the conventional sense, but they do perform local, parallel, analogue computation... View full abstract»

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  • Logical neural nets and distributed implementations of weighted regular languages

    Publication Year: 1991, Page(s):158 - 162
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (296 KB)

    A logical neural network, Aleksander (1), is a finite state machine then it is only possible to recognise regular grammars with these networks. When extra memory is associated with the nodes of these networks, the computational power of the model is increased and now weighted regular grammars, Salomaa (14), can be recognised. Through a constructive method based on the complexity of the production ... View full abstract»

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  • A back propagation network as a decision aid in flexible welding system design

    Publication Year: 1991, Page(s):271 - 275
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (304 KB)

    A neural network has been applied to a new classification and coding system, a sub-set of Group Technology. The new code matches welding processing requirements of components with the features of a flexible welding cell. This work forms part of the development of a new method of flexible manufacturing systems design. The emphasis of the paper is coding the inputs and outputs of the network, and th... View full abstract»

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  • Isolated word recognition with the radial basis function classifier

    Publication Year: 1991, Page(s):345 - 349
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (288 KB)

    The paper introduces a method of optimising the radial basis function classifier representing a compromise between fast heuristic approaches and a fully adaptive approach. The method is especially suitable when the size and complexity of the classification problem are such that large numbers of kernel functions are required to maximise generalisation (minimise error rate on test data). The problem... View full abstract»

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  • Estimation and neurocontrol in the presence of feedback

    Publication Year: 1991, Page(s):300 - 303
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (228 KB)

    When feedforward adaptive control is applied to distributed parameter plants a feedback path often exists around the controller. This feedback path introduces a potential instability and greatly changes the behaviour of the controlled system, usually degrading performance with respect to the `no feedback' case. The feedback induced effects present in feedforward neurocontrol are similar to those e... View full abstract»

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