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EbookBell Team
4.8
94 reviews
ISBN 10: 1586032569
ISBN 13: 9781586032562
Author: Peter Sincak
Annotation Intelligent Technologies including neural network, evolutionary computations, fuzzy approach and mainly hybrid approaches are very promising tools to build intelligent technologies in general. The progress of each theory or application is provided by a number of various theoretical as well as applicational experiments. Machine intelligence is the only alternative how to increase the level of technology to make technology more human-centred and more effective for society. This book includes theoretical as well as applicational papers in the field of neural networks, fuzzy systems and mainly evolutionary computations which application potential was increased by enormous progress in computer power. Hybrid technologies are still progressing and are trying to make some more applications with their ability to learn and process fuzzy information. Neurogenetic systems are very interesting approach to make systems re-configurable and on-line systems for real-world applications. The book is presenting papers from Japan, USA, Hungary, Poland, Germany, Finland, France, Slovakia, United Kingdom, Czech Republic and some other countries. This publication provides the latest state of the art in the field and could be contributed to theory and applications in the machine intelligence tools and their wide application potential in current and future technologies within the Information Society.
Superconvergence Concept in Machine Learning
Application of the Parallel Population Learning Algorithm to Training Feedforward
Markovian Architectural Bias of Recurrent Neural Networks
SOFM Training Speedup
Human Centered Intelligent Robots Using Ontological Neural Network
Trajectory Bounds of Solutions of Delayed Cellular Neural Networks Differential
Automatic Modularization of Structured ANNs
Neural Structure as a Modular Developmental System
A Method For Learning of Hierarchical Fuzzy Systems
Risk Analysis in Fuzzy Flow Networks
Validation Sets in R₁fuzzy Logics and RSfuzzy Logics
A Constraint Handling Method for the Differential Evolution Algorithm
Formal Approach
Genetic Algorithms with Changing Criterion Functions
A Tool for Data Mining Support
Particle Swarm Optimization Method for Constrained Optimization Problems
Prediction Systems Based on FIR Neural Network with Correction of Error
Complex Cognitive Phenomena Challenge for Artificial Intelligence
A Prototypecentered Aproach to Adding Deduction Capability to Search Engines
On Uninorms and their Residual Implicators
Adaptation of Fuzzy Controllers Based on Incremental Models
Optimal Order of Convergence for α-cut Based Fuzzy Interpolators
Properties of Fuzzy Controller with Conditionally Firing Rules
An Algorithm for the Network Steiner Tree Problem with Fuzzy Edge Lengths
Estimation Distribution Algorithm for Mixed ContinuousDiscrete Optimization
The Experimental Study of the Competing Coevolution Using PredatorPrey
Distributed Learning in Behavioral Based Mobile Robot Control
A Way through the Labyrinth of Search Space
A New Approach to Image Reconstruction from Projection
New Approach to Estimation of Pulse Coupled Neural Network Parameters in Image
Neural Networks for SISD Real Time Control
Prediction of the Index Fund on the Basis of Fuzzy Inference Systems
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Tags: Peter Sincak, Intelligent, Technologies, Theory, Applications, New Trends