Cantitate/Preț
Produs
Total produse
Vezi coșul
Synergetics of Measurement, Prediction and Control de Igor Grabec

Synergetics of Measurement, Prediction and Control: Springer Series in Synergetics, cartea 68

Autor Igor Grabec, Wolfgang Sachse
en Limba Engleză Paperback – 15 noi 2011
In this monograph, a statistical description of natural phenomena is used to develop an information processing system capable of modeling non-linear relationships between sensory data. The system, based on self-organized, optimal preservation of empirical information, applies these relationships for prediction and adaptive control.
This monograph is written for students, scientists and engineers in academia and industry who are interested in experimental work related to the adaptive modeling of natural laws, the development of sensory-neural networks, intelligent control, synergetics and informatics. No specific knowledge of advanced mathematics is presupposed. Examples taken from physics, engineering, medicine and economics demonstrate the applicability of such intelligent systems.
Citește tot Restrânge

Din seria Springer Series in Synergetics

  • 15% Boundaries of a Complex World
    Preț: 62041 lei
  • 17% Critical Phenomena in Natural Sciences: Chaos, Fractals, Selforganization and Disorder: Concepts and Tools
    Preț: 43021 lei
  • 17% Stochastic Methods: A Handbook for the Natural and Social Sciences
    Preț: 49546 lei
  • Stochastic Chemical Kinetics: Theory and (Mostly) Systems Biological Applications
    Preț: 37283 lei
  • Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling
    Preț: 37631 lei
  • Nonlinear Waves and Solitons on Contours and Closed Surfaces
    Preț: 38017 lei
  • Brain Dynamics: An Introduction to Models and Simulations
    Preț: 37154 lei
  • 15% From Cells to Societies: Models of Complex Coherent Action
    Preț: 60925 lei
  • 18% Nonlinear Resonances
    Preț: 70193 lei
  • 15% Brain Function and Oscillations: Volume I: Brain Oscillations. Principles and Approaches
    Preț: 61324 lei
  • 15% Nonlinear Dynamics of the Lithosphere and Earthquake Prediction
    Preț: 60580 lei
  • 18% Stochastic Foundations in Movement Ecology: Anomalous Diffusion, Front Propagation and Random Searches
    Preț: 69084 lei
  • 20% Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences
    Preț: 45768 lei
  • Synergetics of Molecular Systems
    Preț: 37833 lei
  • 18% Synchronization: From Simple to Complex
    Preț: 70568 lei
  • 15% The Nonlinear World: Conceptual Analysis and Phenomenology
    Preț: 61496 lei
  • Synchronization in Oscillatory Networks
    Preț: 39589 lei
  • Wavelets in Neuroscience
    Preț: 37796 lei
  • Asymptotic Methods for the Fokker-Planck Equation and the Exit Problem in Applications
    Preț: 37247 lei
  • 15% Synergetic Phenomena in Active Lattices: Patterns, Waves, Solitons, Chaos
    Preț: 61218 lei
  • Information and Self-Organization: A Macroscopic Approach to Complex Systems
    Preț: 36772 lei
  • 20% Reaction-Transport Systems: Mesoscopic Foundations, Fronts, and Spatial Instabilities
    Preț: 57408 lei
  • Turbulence and Diffusion: Scaling Versus Equations
    Preț: 36828 lei
  • 15% Nonlinear Fokker-Planck Equations: Fundamentals and Applications
    Preț: 50684 lei
  • Spatial Hysteresis and Optical Patterns
    Preț: 37631 lei
  • Dynamics of Nonlinear Time-Delay Systems
    Preț: 37083 lei
  • Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis
    Preț: 37283 lei
  • Deterministic Nonlinear Systems: A Short Course
    Preț: 37666 lei
  • Statistical Physics of Non-Thermal Phase Transitions: From Foundations to Applications
    Preț: 38782 lei
  • 18% Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics
    Preț: 106000 lei
  • Nonlinear Dynamics of Chaotic and Stochastic Systems: Tutorial and Modern Developments
    Preț: 37796 lei
  • 18% Stochasticity in Processes: Fundamentals and Applications to Chemistry and Biology
    Preț: 92283 lei
  • 15% Self-Organization and the City
    Preț: 61202 lei
  • Permutation Complexity in Dynamical Systems: Ordinal Patterns, Permutation Entropy and All That
    Preț: 36756 lei
  • Patterns and Interfaces in Dissipative Dynamics
    Preț: 37833 lei

Preț: 37904 lei

Nou

Puncte Express: 569
Preț estimativ în valută:
7256€ • 7746$ • 6008£

Carte tipărită la comandă

Livrare economică 25 decembrie 24 - 08 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642643590
ISBN-10: 3642643590
Pagini: 484
Ilustrații: XX, 458 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.67 kg
Ediția:Softcover reprint of the original 1st ed. 1997
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Series in Synergetics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1. Introduction.- 1.1 Goal.- 1.2 Relation to Other Scientific Fields.- 1.3 Plan of the Monograph.- 2. A Quantitative Description of Nature.- 2.1 Synergetics of Natural Phenomena.- 2.2 A Description of Nature.- 2.3 Fundamentals of Quantitative Description.- 2.4 Fundamentals of Physical Laws.- 2.5 The Random Character of Physical Variables.- 2.6 Expression of Natural Laws by Differential Equations.- 2.7 Methods of Empirical Modeling.- 2.8 Introduction to Modeling by Neural Networks.- 3. Transducers.- 3.1 The Role of Sensors and Actuators.- 3.2 Sensors and Actuators of Biological Systems.- 3.3 Operational Characteristics of Transducers.- 3.4 Fabricated Transducers.- 3.5 Transducers in Intelligent Measurement Systems.- 3.6 Future Directions in Transducer Evolution.- 4. Probability Densities.- 4.1 Estimation of Probability Density.- 5. Information.- 5.1 Some Basic Ideas.- 5.2 Entropy of Information.- 5.3 Properties of Information Entropy.- 5.4 Relative Information.- 5.5 Information Measure of Distance Between Distributions.- 6. Maximum Entropy Principles.- 6.1 Gibbs Maximum Entropy Principle.- 6.2 The Absolute Maximum Entropy Principle.- 6.3 Quantization of Continuous Probability Distributions.- 7. Adaptive Modeling of Natural Laws.- 7.1 Probabilistic Modeler of Natural Laws.- 7.2 Optimization of Adaptive Modeler Performance.- 7.3 Stochastic Approach to Adaptation Laws.- 7.4 Stochastic Adaptation of a Vector Quantizer.- 7.5 Perturbation Method of Adaptation.- 7.6 Evolution of an Optimal Modeler and Perturbation Method.- 7.7 Parametric Versus Non-Parametric Modeling.- 8. Self-Organization and Formal Neurons.- 8.1 Optimal Storage of Empirical Information in Discrete Systems.- 8.2 Adaptive Vector Quantization and Topological Mappings.- 8.3 Self-Organization Based on the Absolute Maximum-Entropy Principle.- 8.4 Derivation of a Generalized Self-Organization Rule.- 8.5 Numerical Examples of Self-Organized Adaptation.- 8.6 Formal Neurons and the Self-Organization Process.- 9. Modeling by Non-Parametric Regression.- 9.1 The Problem of an Optimal Prediction.- 9.2 Parzen’s Window Approach to General Regression.- 9.3 General Regression Modeler, Feedback and Recognition.- 9.4 Application of the General Regression Modeler.- 10. Linear Modeling and Invariances.- 10.1 Relation Between Parametric Modeling and Invariances.- 10.2 Generalized Linear Regression Model.- 10.3 Sequential Adaptation of Linear Regression Model.- 10.4 Transition from the Cross- to Auto-Associator.- 11. Modeling and Forecasting of Chaotic Processes.- 11.1 Modeling of Chaotic Processes.- 11.2 Examples of Chaotic Process Forecasting.- 11.3 Forecasting of Chaotic Acoustic Emission Signals.- 11.4 Empirical Modeling of Non-Autonomous Chaotic Systems.- 11.5 Cascade Modeling of Chaos Generators.- 12. Modeling by Neural Networks.- 12.1 From Biological to Artificial Neural Networks.- 12.2 A Linear Associator.- 12.3 Multi-layer Perceptrons and Back-Propagation Learning.- 12.4 Radial Basis Function Neural Networks.- 12.5 Equivalence of a Radial Basis Function NN and Perceptrons.- 13. Fundamentals of Intelligent Control.- 13.1 Introduction.- 13.2 Basic Tasks of Intelligent Control.- 13.3 The Tracking Problem.- 13.4 Cloning.- 13.5 An Empirical Approach to Optimal Control.- 14. Self-Control and Biological Evolution.- 14.1 Modeling of Natural Phenomena by Biological Systems.- 14.2 Joint Modeling of Organism and Environment.- 14.3 An Operational Description of Consciousness.- 14.4 The Fundamental Problem of Evolution.- A. Fundamentals of Probability and Statistics.- A.1 Sample Points, SampleSpace, Events and Relations.- A.2 Probability.- A.3 Random Variables and Probability Distributions.- A.4 Averages and Moments.- A.5 Random Processes.- A.6 Sampling, Estimation and Statistics.- B. Fundamentals of Deterministic Chaos.- B.1 Instability of Chaotic Systems.- B.2 Characterization of Strange Attractors.- B.3 Experimental Characterization of Chaotic Phenomena.- References.

Textul de pe ultima copertă

The electronic processing of information permits the construction of intelligent systems capable of carrying out a synergy of autonomous measurement, the modeling of natural laws, the control of processes, and the prediction or forecasting of a large variety of natural phenomena. In this monograph, a statistical description of natural phenomena is used to develop an information processing system capable of modeling non-linear relationships between sensory data. The system, based on self-organized, optimal preservation of empirical information, applies these relationships for prediction and adaptive control.
This monograph is written for students, scientists and engineers in academia and industry who are interested in experimental work related to the adaptive modeling of natural laws, the development of sensory-neural networks, intelligent control, synergetics and informatics. No specific knowledge of advanced mathematics is presupposed. Examples taken from physics, engineering, medicine and economics demonstrate the applicability of such intelligent systems.