Transactions of the Institute of Systems, Control and Information Engineers
New Arrival Alert : OFF

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign up
ONLINE ISSN: 2185-811X
PRINT ISSN: 1342-5668

Transactions of the Institute of Systems, Control and Information Engineers Vol. 9 (1996), No. 5

  • A New Error Back Propagation Method for a Multilayer Neural Network and Its Algebraic Properties

    pp. 201-209

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.201

    The back propagation method is well known as a supervised learning rule of a neural network.
    In this paper, a new learning rule is proposed where the output error vector is adjusted to zero by correcting two kinds of vectors, the one is weighting vectors (matrix) and the other is an input vector of the layer. The corrected input vector has a role of a tentative teacher of the following layer. In this way, the output error is propagated backward, and is partly corrected by each weighting vector.
    Computatinal method is also presented for a matrix inversion which is required in the proposed method and nonsingularity of the matix is discussed.
    Simulation result of the Exclusive-OR problem shows the effectiveness of the proposed method.
  • Function Approximation by Fusing Its Different Order Derivatives

    pp. 210-218

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.210

    Progress in recent sensor technology has inspired us to start research on recovering an object surface from depth data together with additional sensory information, i.e. data on its differential geometry or a priori knowledge about its smoothness. Any method for the recovery with both classes of the additional information, however, has not been proposed yet. Such a problem can be generalized to that of function approximation using its different order derivatives, which covers many important applications. To solve the problems generally, we propose a method of fusing all the information as follows : (1) To evaluate the smoothness and penalties for the derivative data of each order, we define a functional. (2) All the information are related to one another by restricting the fused results in the set of stationary functions of the functional. By the fusion, a new approximation is realized as the stationary function that minimizes all penalties simultaneously.
  • Controller Design of Two Mass-Spring System via LMI

    pp. 219-226

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.219

    This paper gives a controller design method of 2 mass-spring system which satisfies the given H control performance and pole assignment in the prescribed region in the presence of physical parameter perturbations. In addition, its effectiveness is demonstrated by experiments.
  • A Study of Estimating Vehicle Aerodynamics of Lift

    pp. 227-235

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.227

    It is shown that combining multivariate analysis with neural networks is useful for solving problems with complex interaction such as a vehicle aerodynamics of lift. This method leads us to various valuable observations. In this paper, we show the effectiveness of this method.
    Regarding some of the past insufficiencies of solving problems by multivariate analysis method or neural networks only, there are conditions such as (1) difficult to collect data, (2) mere knowhow, (3) predicting complex interaction. But by combining neural networks method with multivariate analysis, we can solve the problems efficiently.
    In addition, solving this problems by combining neural networks method with multivariate analysis, new detections about the works of hidden layers in neural networks were found.
  • Loop Transfer Recovery Techniques for Time-Delay Systems with Non-Minimum Phase Lumped Part

    pp. 236-245

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.236

    For a plant consisting of a lumped non-minimum phase part and an output delay, we discuss LTR (Loop Transfer Recovery) techniques for designing a predictor-based LQG controller. We focus our attention to the feedback property achieved at the plant output side. We show that a feedback property recovered by the formal application of the conventional LTR procedure can be achieved by the partial LTR technique which has a clear system-theoretic meaning. This fact provides a theoretical justification of the formal application of the conventional LTR technique to a plant including finite unstable zeros and a time delay. In addition, we point out that the partial LTR technique provides more freedom in shaping target feedback properties. We propose a simple technique exploiting this freedom. A numerical example is given to illustrate usefulness of the proposed technique.
  • A System Configuration to Convert a Continuous Plant with Time Delay into a Linear Discrete Plant

    pp. 246-248

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.246

  • Influence of Microphone Dynamics on Sound Transmission Loss and Its Compensation

    pp. 249-251

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.249

  • Development of the Conditions for the Delay-Independent Stabilization of Linear Systems

    pp. 252-254

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.252

  • A Computing Method to Locate the Roots of Interval Polynomials

    pp. 255-257

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.9.255

Article Access Ranking

19 Nov. (Last 30 Days)

  1. Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
  2. Effect of Interfacial Properties on Agglomeration of Inclusions in Molten Steels ISIJ International Vol.59(2019), No.10
  3. Agglomeration and Removal of Alumina Inclusions in Molten Steel with Controlled Concentrations of Interfacial Active Elements ISIJ International Advance Publication
  4. Intra-Particle Water Migration Dynamics during Iron Ore Granulation Process Tetsu-to-Hagané Vol.105(2019), No.11
  5. Composition Change of Inclusions in High Carbon Steel before and after Addition of Aluminum Tetsu-to-Hagané Vol.105(2019), No.11
  6. A Visual PCI Blockage Detection in Blast Furnace Raceway ISIJ International Advance Publication
  7. Optimization of Discharge Parameters for a Glow Discharge Emission Spectrograph with Two-dimensional Spatial Resolution ISIJ International Advance Publication
  8. 3D Crystal Orientation Mapping of Recrystallization in Severely Cold-rolled Pure Iron Using Laboratory Diffraction Contrast Tomography ISIJ International Advance Publication
  9. Multiphase Flow Behavior in a Single-Strand Continuous Casting Tundish during Ladle Change ISIJ International Advance Publication
  10. Melting Behaviour of Iron Ore Pellet Bed under Nut Coke Mixed Charge Conditions ISIJ International Advance Publication

Search Phrase Ranking

19 Nov. (Last 30 Days)

  1. blast furnace
  2. blast furnace permeability
  3. blast furnace productivity
  4. cohesive zone
  5. hot rolling
  6. pellet
  7. basicity
  8. alternating current electrolyzing method for colored stainless steel
  9. steel
  10. argon bubbles