Innovations in Bio-inspired Computing and Applications

Table of Contents

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   Book Overview
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   Chapter 1 Power Output Models of Ordinary Differential Equations by Polynomial and Recurrent Neural Networks
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   Chapter 2 An Experimental Analysis of Reservoir Parameters of the Echo State Queueing Network Model
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   Chapter 3 Measuring Phenotypic Structural Complexity of Artificial Cellular Organisms
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   Chapter 4 Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters
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   Chapter 5 Multi Objective Optimization Strategy Suitable for Virtual Cells as a Service
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   Chapter 6 An Application of Process Mining to Invoice Verification Process in SAP
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   Chapter 7 Emergent Induction of Deterministic Context-Free L-system Grammar
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   Chapter 8 Double Expert System for Monitoring and Re-adaptation of PID Controllers
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    Chapter 9 Multiplier System in the Tile Assembly Model with Reduced Tileset-Size
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    Chapter 10 A Bézier Curve-Based Approach for Path Planning in Robot Soccer
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    Chapter 11 Adaptively Nearest Feature Point Classifier for Face Recognition
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    Chapter 12 Comparison of Classification Algorithms for Physical Activity Recognition
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    Chapter 13 Modular Algorithm in Tile Self-assembly Model
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    Chapter 14 LLLA: New Efficient Channel Assignment Method in Wireless Mesh Networks
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    Chapter 15 Binary Matrix Pseudo-division and Its Applications
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    Chapter 16 Nature Inspired Phenotype Analysis with 3D Model Representation Optimization
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    Chapter 17 Multi-class SVM Based Classification Approach for Tomato Ripeness
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    Chapter 18 Solving Stochastic Vehicle Routing Problem with Real Simultaneous Pickup and Delivery Using Differential Evolution
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    Chapter 19 An Intelligent Multi-agent Recommender System
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    Chapter 20 Geodata Scale Restriction Using Genetic Algorithm
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    Chapter 21 Principal Component Analysis Neural Network Hybrid Classification Approach for Galaxies Images
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    Chapter 22 Comparison of Crisp, Fuzzy and Possibilistic Threshold in Spatial Queries
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    Chapter 23 Visualizing Clusters in the Photovoltaic Power Station Data by Sammon’s Projection
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    Chapter 24 Rough Power Set Tree for Feature Selection and Classification: Case Study on MRI Brain Tumor
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    Chapter 25 The Nelder-Mead Simplex Method with Variables Partitioning for Solving Large Scale Optimization Problems
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    Chapter 26 SVM-Based Classification for Identification of Ice Types in SAR Images Using Color Perception Phenomena
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    Chapter 27 Evaluation of Electrocardiographic Leads and Establishing Significance Intra-individuality