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Neural Networks and Soft Computing

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Cover of 'Neural Networks and Soft Computing'

Table of Contents

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    Book Overview
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    Chapter 1 It is a Fundamental Limitation to Base Probability Theory on Bivalent Logic
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    Chapter 2 Soft Variables as a Generalization of Uncertain, Random and Fuzzy Variables
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    Chapter 3 Decision Algorithms, Bayes’ Theorem and Flow Graphs
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    Chapter 4 New Consideration on Criteria of Model Selection
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    Chapter 5 Generalized Conjunction, Disjunction and Negation Operations in Fuzzy Modeling
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    Chapter 6 Image Data Compression/Reconstruction by Fuzzy Relational Equation
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    Chapter 7 Interpolation in Hierarchical Rule Bases
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    Chapter 8 On Algebraic Operations on Fuzzy Reals
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    Chapter 9 Formal Fuzzy Logic and Its Use in Modeling of Vagueness and Computing with Words
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    Chapter 10 Independent Component Analysis for Simultaneous Active Noise Canceling and Blind Signal Separation
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    Chapter 11 On The Universality of The Single-Layer Perceptron Model
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    Chapter 12 A Hybrid Connectionist for Multiple Regression
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    Chapter 13 Financial Fraud Identification Using MF-ARTMAP Neural Network α
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    Chapter 14 Radial Basis Function Neural Networks: Theory and Applications
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    Chapter 15 Introduction of Interactive Evolutionary Computation and Its Applications to CG Creativity
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    Chapter 16 Neuroinformatics Research in Vision
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    Chapter 17 Soft Computing in Hardware Implementations
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    Chapter 18 On the Node Complexity of Threshold Gate Circuits with Sub-linear Fan-ins
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    Chapter 19 Numerically Robust Learning Algorithms for Feed Forward Neural Networks
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    Chapter 20 A Neural Network Based Approach For Sensors Issued Data Fusion
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    Chapter 21 Population Learning Metaheuristic for Neural Network Training
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    Chapter 22 A Penalty Function to Obtain Satisfactory Local Models of Complex Systems
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    Chapter 23 Feature Selection Based on Information Theory Filters
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    Chapter 24 Neural Network Design without Learning
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    Chapter 25 New Ontogenic Neural Network Classificator Based on Probabilistic Reasoning
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    Chapter 26 Discrete Quasi-gradient Features Weighting Algorithm
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    Chapter 27 Input Ranking Revisited: A Theoretical Input Sensitivity Approach
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    Chapter 28 On the Influence of Synaptic Dilution on Memory Properties of Neural Networks
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    Chapter 29 Evolutionary Algorithm vs. Other Methods for Constructive Optimisation of RBF Network Kernels
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    Chapter 30 Heuristic Dynamic Programming for Neural Networks Learning Part 1: Learning as a Control Problem
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    Chapter 31 Heuristic Dynamic Programming for Neural Networks Learning Part 2: I-order Differential Dynamic Programming
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    Chapter 32 Evaluation of Dipolar Neural Networks in Survival Time Prediction
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    Chapter 33 A Synaptic Indicator Based Approach For Hidden Parameters Extraction In Industrial Environment
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    Chapter 34 Regression Hyper Surfaces with a Modified Neural Network Architecture
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    Chapter 35 Response Surface Methodology at Irregular Grids Based on Voronoi Scheme with Neural Network Approximator
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    Chapter 36 Extended RBF Nets — Preliminary Studies
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    Chapter 37 How to Test Overfitting When There is not Enough Data for a Testing Set?
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    Chapter 38 On Very Large Scale Hamiltonian Neural Nets
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    Chapter 39 On sup — * Compositions of Fuzzy Implications
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    Chapter 40 A New Approach to Fuzzy Constraints in Linear Programming
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    Chapter 41 On a Linguistic Description of Dependencies in Data
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    Chapter 42 New Index of Significance for Inputs Selection
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    Chapter 43 Fuzzy Reliability Analysis
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    Chapter 44 Variable Precision Rough Sets in Analysis of Inconsistent Decision Tables
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    Chapter 45 The Newton Interpolation Method with Fuzzy Numbers as the Entries
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    Chapter 46 Fuzzy Optimization Using Direct Crisp and Fuzzy Interval Comparison
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    Chapter 47 Membership Functions as Combination of Expert’s Knowledge with Population Information
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    Chapter 48 Towards More Human Consistent Reasoning via Intuitionistic Fuzzy Sets
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    Chapter 49 Fuzzy Relational Thesauri Expansion Using Categorized Textual Data
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    Chapter 50 Investigation of the Neighborhood Attraction Evolutionary Algorithm Based on Neural Gas
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    Chapter 51 A Fate of Two Evolutionary Walkers after the Departure from the Origin
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    Chapter 52 Genetic Algorithms with Adaptive Meta-heuristics for 2D Packing Problem
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    Chapter 53 Genetic Decryption of Columnar Transposition Code
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    Chapter 54 A Floating-Point Based Evolutionary Algorithm for Model Parameters Extraction and Optimization in HBT Device Simulation
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    Chapter 55 Rule Extraction from Trained Neural Network with Evolutionary Algorithms
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    Chapter 56 Genetic Algorithm for Observer Parameters Tuning in Sensorless Induction Motor Drive
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    Chapter 57 Moving Objects in the Problem of Path Planning by Evolutionary Computation
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    Chapter 58 Determining Relevant Input Dimensions for the Self Organizing Map
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    Chapter 59 The Use of Wide-frame Cepstrum in Speech Recognition
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    Chapter 60 Face Recognition/Detection by Clustering and Probabilistic Neural Networks
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    Chapter 61 A Posteriori Corrections to Classification Methods
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    Chapter 62 Competent Undemocratic Committees
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    Chapter 63 Reasoning in Structured Bayesian Networks
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    Chapter 64 Machine Learning Methods for Improving Gender Recognition from Stop Consonants
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    Chapter 65 Sequential Classification
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    Chapter 66 Geometry and Logic in Pattern Classifiers
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    Chapter 67 Fuzzy Bayesian Classifier: a Multi-Agent System for Information Retrieval in the Web
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    Chapter 68 Can Neural Networks Be Used to Define the Rules of Cardiovascular Disease Prevention in the Nutrition Domain?
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    Chapter 69 A Practical Approach To Image Reconstruction From Projections Using Neural Networks Structure
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    Chapter 70 A Systolic Realisation of the Neuro-Tomograph
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    Chapter 71 An Investigation of Differential Skin Colonization of Neonates by Staphylococci, Using an Artificial Neural Network-based System
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    Chapter 72 Evolutionary Computing Techniques for Diagnosis of Urinary Tract Infections in Vivo , Using Gas Sensors
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    Chapter 73 Neural Expert System for Pharmaceutical Formulation Development — Focus on Solid Dispersions
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    Chapter 74 Using Artificial Neural Network as a Tool for Epidemiological Data Analysis
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    Chapter 75 A Neural Network Based Investigation of High Frequency Components of the ECG
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    Chapter 76 Automatic Ischemic Stroke Segmentation Using Various Techniques
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    Chapter 77 Simple Modification of Takagi-Sugeno Model
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    Chapter 78 Applying Genetic Algorithm for Training Hybrid Neuro-Fuzzy Classifier — the nfgClass System
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    Chapter 79 Fuzzy Calculus by RBF Neural Networks
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    Chapter 80 Extending Neuro-Fuzzy Classification to Semi-Supervised Learning
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    Chapter 81 An ε -insensitive Learning in Neuro-Fuzzy Modeling
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    Chapter 82 Soft Techniques for Bayesian Classification
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    Chapter 83 Gradient Descent Based Optimization of Transparent Mamdani Systems
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    Chapter 84 A Neural Network Equivalent to a Neuro-Fuzzy System for Classification
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    Chapter 85 Compromise Weighted Neuro — Fuzzy Systems
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    Chapter 86 A Fuzzy Relational System with Linguistic Antecedent Certainty Factors
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    Chapter 87 Interval Type 2 Neuro-Fuzzy Systems Based on Interval Consequents
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    Chapter 88 Generation of Fuzzy Neural Network Structure
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    Chapter 89 Regularization Background of Clustering Algorithms
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    Chapter 90 Simulated Annealing C-Means Clustering Algorithm Convergence Proof
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    Chapter 91 Learning by Constraint Relaxation
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    Chapter 92 Forests of Decision Trees
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    Chapter 93 Agent Populations as Computational Intelligence
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    Chapter 94 Conditional Belief Functions Versus Proper Belief Functions
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    Chapter 95 Transformation Distances, Strings and Identification of DNA Promoters
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    Chapter 96 Solving Stochastic Shortest Path Problem Using Monte Carlo Sampling Method: A Distributed Learning Automata Approach
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    Chapter 97 Visualization of Large Data Sets Using MDS Combined with LVQ
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    Chapter 98 Controlling the Asymptotic Level Density for Quantization Processes with Self-Organizing Maps
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    Chapter 99 Formal Neuro-Immune Network
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    Chapter 100 Memory Management in Artificial Immune System
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    Chapter 101 A Software Platform for Evaluation of Neural Algorithms for Stereo Image Processing
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    Chapter 102 Sequential Analysis of Medical Images Using Neural Networks
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    Chapter 103 Medical Image Recognition Based on Fractal Features
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    Chapter 104 Improving Image Database Summarization by Automatic Image Feature Selection Using GA
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    Chapter 105 System Identification Using Delaunay Tessellation of Self-Organizing Maps
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    Chapter 106 Neural Network Reactive Navigation and Control of Wheeled Mobile Robot
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    Chapter 107 Training of Neural Network Wiener Models with Recursive Prediction Error Algorithm
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    Chapter 108 Dynamic GMDH Type Neural Networks
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    Chapter 109 Generalized Spectrum Analysis by Means of Neural Networks
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    Chapter 110 Wavelet Network for Recursive Function Learning
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    Chapter 111 Interpolation and Approximation of Models
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    Chapter 112 Wavelet Network Estimating Regression Function
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    Chapter 113 Dynamic Programming with NAR Model versus Q-learning — Case Study
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    Chapter 114 Evaluation of Economic Effectiveness of Provinces with Rough and Fuzzy Sets
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    Chapter 115 Evolutionarily Developed Neural Networks for Investment Strategies Construction
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    Chapter 116 Credit Granting Procedure: Multilayer Perceptron and Classification Tree
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    Chapter 117 Reliability Analysis of Structures by Neural Network Supported Monte Carlo Methods
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    Chapter 118 BP Neural Network Computation of Response Spectra Using a Subpicture Idea
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    Chapter 119 Neural Networks in Updating of Dynamic Models with Experimental Verification
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    Chapter 120 A Fuzzy Neural Network for the Analysis of Experimental Structural Mechanics Problems
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    Chapter 121 Neural Network Identification of a Circular Hole in the Rectangular Plate
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    Chapter 122 Neural Analysis of Concrete Shrinkage
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    Chapter 123 Short-Term Load Forecasting For Energy Markets
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    Chapter 124 Systolic Architecture for Higher Order Neural Networks
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    Chapter 125 Decomposition and Argument Reduction of Neural Networks
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    Chapter 126 Traffic Flow Simulation — Cellular Automata with Fuzzy Rules Approach
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    Chapter 127 An MLP Predictor of ELF Environmental Magnetic Fields Pollution
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    Chapter 128 Forecasting of Meteorologic Data by Artificial Neural Networks
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    Chapter 129 Artificial Neural Network Predictive System for Oxygen Steelmaking Converter
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    Chapter 130 Evaluation of a Helicopter Model Using Generalized Back Propagation Through Time
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    Chapter 131 Correction of Non-linear Dynamic Properties of Temperature Sensors by the Use of ANN
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    Chapter 132 Short-term Weather Forecasting with Neural Networks
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    Chapter 133 Method for Detection of Wheat Grain Damage with Application of Neural Networks
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    Chapter 134 The WWW Based Data Mining Toolbox Architecture
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    Chapter 135 Concept of Neural Model of the Sea Bottom Surface
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    Chapter 136 Systolic Simulation of Hamming Neural Network
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    Chapter 137 Neural Network Simulation of Energy Transfer Processes in a Membrane Protein System
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    Chapter 138 Neural Network Modifiers of Nonlinear Dynamical Systems
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    Chapter 139 Probabilistic-Fuzzy Method of Ship Manoeuvre Safety Assessment in a Restricted Area
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    Chapter 140 Irregular Shape Particle Size Analysis Using Neural Network Approach
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    Chapter 141 Neural Classifier for Bottom Sediments
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    Chapter 142 Performance of ROC Curves and LVQ Neural Networks in Detection of Middle Cerebral Artery Spasm
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    Chapter 143 Neural Network Approach to Acoustic Detection of Number of Vehicles
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Title
Neural Networks and Soft Computing
Published by
Physica-Verlag HD, March 2013
DOI 10.1007/978-3-7908-1902-1
ISBNs
978-3-79-080005-0, 978-3-79-081902-1
Editors

Rutkowski, Leszek, Kacprzyk, Janusz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Doctoral Student 2 29%
Other 1 14%
Professor 1 14%
Student > Bachelor 1 14%
Other 0 0%
Readers by discipline Count As %
Business, Management and Accounting 2 29%
Computer Science 2 29%
Energy 1 14%
Engineering 1 14%
Unknown 1 14%