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Neural Networks and Artificial Intelligence

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Cover of 'Neural Networks and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Living in Harmony with Nature: Forest and “Satoyama” in Japan
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    Chapter 2 Ecological and Economical Aspects of Felling with Use of Multi-operational Felling Machines and Machinery
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    Chapter 3 A Literature Review: Forest Management with Neural Network and Artificial Intelligence
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    Chapter 4 Can Artiticial Neural Networks Evolve to be Intelligent Like Human?
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    Chapter 5 Multi Objective Optimization of Trajectory Planning of Non-holonomic Mobile Robot in Dynamic Environment Using Enhanced GA by Fuzzy Motion Control and A*
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    Chapter 6 Multi Objective Optimization of Path and Trajectory Planning for Non-holonomic Mobile Robot Using Enhanced Genetic Algorithm
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    Chapter 7 New Procedures of Pattern Classification for Vibration-Based Diagnostics via Neural Network
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    Chapter 8 Graph Neural Networks for 3D Bravais Lattices Classification
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    Chapter 9 Quality Evaluation of E-commerce Sites Based on Adaptive Neural Fuzzy Inference System
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    Chapter 10 Visual Fuzzy Control for Blimp Robot to Follow 3D Aerial Object
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    Chapter 11 At Odds with Curious Cats, Curious Robots Acquire Human-Like Intelligence
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    Chapter 12 A Statistical Approach to Human-Like Visual Attention and Saliency Detection for Robot Vision: Application to Wildland Fires’ Detection
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    Chapter 13 A Learning Technique for Deep Belief Neural Networks
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    Chapter 14 Modeling Engineering-Geological Layers by k-nn and Neural Networks
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    Chapter 15 A Hybrid Genetic Algorithm and Radial Basis Function NEAT
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    Chapter 16 A Multi-agent Efficient Control System for a Production Mobile Robot
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    Chapter 17 A Low-Cost Mobile Robot for Education
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    Chapter 18 Data-Driven Method for High Level Rendering Pipeline Construction
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    Chapter 19 Efficiency of Parallel Large-Scale Two-Layered MLP Training on Many-Core System
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Title
Neural Networks and Artificial Intelligence
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-08201-1
ISBNs
978-3-31-908200-4, 978-3-31-908201-1
Editors

Vladimir Golovko, Akira Imada

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Professor 2 20%
Unknown 5 50%
Readers by discipline Count As %
Computer Science 2 20%
Engineering 2 20%
Social Sciences 1 10%
Unknown 5 50%