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214 569 (0,635s)

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Foundations of Nonconventional Neural Units and their Classification

nonlinear neural units, time-delay dynamic neural units, and time-delay higher order nonlinear neural units are introduced. Brief introduction into the simplified parallels of the higher...

BC - Teorie a systémy řízení

  • 2008
  • Jx
Result

New Neural Architectures and New Adaptive Evaluation of Chaotic Time Series

The paper presents a new concept of Neural Architectures - HONNU (High Order Neural Network Units) and emphasizes their advantages and benefits for various engineering problems solutions. Special attention...

BC - Teorie a systémy řízení

  • 2008
  • D
Result

Foundation and Classification of Non-Conventional Neural Units and Paradigm of Non-Synaptic Neural Interaction

and classification of higher-order non-linear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. The classification...

IN - Informatika

  • 2010
  • C
Result

Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units

nonlinear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. Introduction into the simplified parallel, the dynamic orde...

BC - Teorie a systémy řízení

  • 2007
  • D
Result

Weight adaptation stability of linear and higher-order neural units for prediction applications

-order neural units. A study of utilization of linear and higher-order neural unitsThis paper is focused on weight adaptation stability analysis of static and dynamic neural units

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • Jost
  • Link
Result

Tensor-based Polynomial Features Generation for High-order Neural Networks

differentiation algorithms. That makes the design of a high order neural network with HONU generation. The polynomial features generation is the very first step for the High-order Neural Unit...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2021
  • D
  • Link
Result

Prediction of Highly Non-stationary Time Series Using Higher-Order Neural Units

about this concern as well as how the basis of higher-order neural units can a Quadratic Neural Unit, a special case of higher-order neural units. FinallyAdaptive predictive mod...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

Prediction of Highly Non-stationary Time Series Using Higher-Order Neural Units

about this concern as well as how the basis of higher-order neural units can a Quadratic Neural Unit, a special case of higher-order neural units. FinallyAdaptive predictive mod...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Review of Development of Nonconventional Neural Architectures at the Czech Technical University in Prague

, the onset of the need for development of nonconventional neural units is introduced and applications of nonconventional neural architectures (NNA) at the Department neural networks and modeling and evaluation of ...

BC - Teorie a systémy řízení

  • 2009
  • D
Result

Fundamentals of Higher Order Neural Networks for Modeling and Simulation

In this chapter, we provide fundamental principles of higher order neural units (HONUs) and higher order neural networks (HONNs) for modeling and simulation. An essential core of HONNs can be found in high...

BC - Teorie a systémy řízení

  • 2012
  • C
  • Link
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