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Artificial Intelligence and Soft Computing

Overview of attention for book
Cover of 'Artificial Intelligence and Soft Computing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Neural Data Analysis: Ensemble Neural Network Rule Extraction Approach and Its Theoretical and Historical Backgrounds
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    Chapter 2 A New Method of Centers Location in Gaussian RBF Interpolation Networks
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    Chapter 3 Parallel Approach to Learning of the Recurrent Jordan Neural Network
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    Chapter 4 Agent-Based Population Learning Algorithm for RBF Network Tuning
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    Chapter 5 Forecasting Time Series with Multiple Seasonal Cycles Using Neural Networks with Local Learning
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    Chapter 6 Reinforcement Learning in Discrete Neural Control of the Underactuated System
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    Chapter 7 Associative Text Representation and Correction
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    Chapter 8 Some Aspects of Neural Network State Variable Estimator Improvement in Induction Motor Drive
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    Chapter 9 The Echo State Network on the Graphics Processing Unit
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    Chapter 10 Solution of Inverse Kinematics by PSO Based on Split and Merge of Particles
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    Chapter 11 Probabilistic Neural Network Structure Reduction for Medical Data Classification
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    Chapter 12 Development of Explicit Neural Predictive Control Algorithm Using Particle Swarm Optimisation
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    Chapter 13 Designing of State-Space Neural Model and Its Application to Robust Fault Detection
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    Chapter 14 Employing Self-Organizing Map for Fraud Detection
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    Chapter 15 A Study on the Scalability of Artificial Neural Networks Training Algorithms Using Multiple-Criteria Decision-Making Methods
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    Chapter 16 Testing the Generalization of Feedforward Neural Networks with Median Neuron Input Function
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    Chapter 17 Biological Plausibility in an Artificial Neural Network Applied to Real Predictive Tasks
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    Chapter 18 Random Sieve Based on Projections for RBF Neural Net Structure Selection
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    Chapter 19 Eigenvalue Spectra of Functional Networks in fMRI Data and Artificial Models
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    Chapter 20 A Multi-objective Subtractive FCM Based TSK Fuzzy System with Input Selection, and Its Application to Dynamic Inverse Modelling of MR Dampers
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    Chapter 21 Hybrid State Variables - Fuzzy Logic Modelling of Nonlinear Objects
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    Chapter 22 Properties of Plausibility Conflict of Belief Functions
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    Chapter 23 The Use of Intuitionistic Fuzzy Values in Rule-Base Evidential Reasoning
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    Chapter 24 Financial Stock Data and Ordered Fuzzy Numbers
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    Chapter 25 Diversity of Opinion Evaluated by Ordered Fuzzy Numbers
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    Chapter 26 Hardware Implementation of P1-TS Fuzzy Rule-Based Systems on FPGA
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    Chapter 27 Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure
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    Chapter 28 Air Traffic Incidents Analysis with the Use of Fuzzy Sets
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    Chapter 29 Automatic Design of Interpretable Fuzzy Partitions with Variable Granularity: An Experimental Comparison
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    Chapter 30 A New Method for Designing and Complexity Reduction of Neuro-fuzzy Systems for Nonlinear Modelling
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    Chapter 31 Modelling Financial High Frequency Data Using Ordered Fuzzy Numbers
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    Chapter 32 The Modified Sequential-Binary Approach for Fuzzy Operations on Correlated Assessments
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    Chapter 33 Flexible and Simple Methods of Calculations on Fuzzy Numbers with the Ordered Fuzzy Numbers Model
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    Chapter 34 The Use of Fuzzy Numbers in the Process of Designing Relational Fuzzy Cognitive Maps
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    Chapter 35 Metasets, Intuitionistic Fuzzy Sets and Uncertainty
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    Chapter 36 A New Similarity Function for Generalized Trapezoidal Fuzzy Numbers
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    Chapter 37 Fuzzy Granulation Approach to Color Digital Picture Recognition
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    Chapter 38 Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures
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    Chapter 39 SUCCESS: A New Approach for Semi-supervised Classification of Time-Series
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    Chapter 40 A New Method of Improving Classification Accuracy of Decision Tree in Case of Incomplete Samples
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    Chapter 41 Adaptation of Decision Trees for Handling Concept Drift
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    Chapter 42 Hesitant Neural Gas for Supervised and Semi-supervised Classification
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    Chapter 43 Intuitionistic Fuzzy Classifier for Imbalanced Classes
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    Chapter 44 Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups
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    Chapter 45 Speech Enhancement in Noisy Environments in Hearing Aids Driven by a Tailored Gain Function Based on a Gaussian Mixture Model
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    Chapter 46 Two-Dimensional Hidden Markov Models for Pattern Recognition
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    Chapter 47 Video Compression Algorithm Based on Neural Networks
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    Chapter 48 Online Crowdsource System Supporting Ground Truth Datasets Creation
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    Chapter 49 Object Detection by Simple Fuzzy Classifiers Generated by Boosting
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    Chapter 50 Road Surface Recognition System Based on Its Picture
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    Chapter 51 Landmine Detection in 3D Images from Ground Penetrating Radar Using Haar-Like Features
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    Chapter 52 Synchronizing Speech Mixtures in Speech Separation Problems under Reverberant Conditions
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    Chapter 53 Neuronal Model-Based Image Reconstruction from Projections Method
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    Chapter 54 Representation of Edge Detection Results Based on Graph Theory
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    Chapter 55 A Novel Graph-Based Descriptor for Object Matching
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    Chapter 56 Extraction of Objects from Images Using Density of Edges as Basis for GrabCut Algorithm
  58. Altmetric Badge
    Chapter 57 Computer Vision Based Method for Real Time Material and Structure Parameters Estimation Using Digital Image Correlation, Particle Filtering and Finite Element Method
Overall attention for this book and its chapters
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  • Average Attention Score compared to outputs of the same age and source

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Citations

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Title
Artificial Intelligence and Soft Computing
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-38658-9
ISBNs
978-3-64-238657-2, 978-3-64-238658-9
Authors

Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, Rutkowski, Leszek, Korytkowski, Marcin, Scherer, Rafał, Tadeusiewicz, Ryszard, Zadeh, Lotfi A, Zurada, Jacek M

Editors

Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Unknown 4 80%
Readers by discipline Count As %
Unspecified 1 20%
Unknown 4 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 January 2017.
All research outputs
#14,755,656
of 22,714,025 outputs
Outputs from Lecture notes in computer science
#4,540
of 8,124 outputs
Outputs of similar age
#175,323
of 280,752 outputs
Outputs of similar age from Lecture notes in computer science
#184
of 314 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.