كتاب Intelligent Information Processing with Matlab
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منتدى هندسة الإنتاج والتصميم الميكانيكى
بسم الله الرحمن الرحيم

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 كتاب Intelligent Information Processing with Matlab

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عدد المساهمات : 18996
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تاريخ التسجيل : 01/07/2009
الدولة : مصر
العمل : مدير منتدى هندسة الإنتاج والتصميم الميكانيكى

كتاب Intelligent Information Processing with Matlab  Empty
مُساهمةموضوع: كتاب Intelligent Information Processing with Matlab    كتاب Intelligent Information Processing with Matlab  Emptyالخميس 04 يوليو 2024, 3:35 pm

أخواني في الله
أحضرت لكم كتاب
Intelligent Information Processing with Matlab
Xiu Zhang, Xin Zhang and Wei Wang

كتاب Intelligent Information Processing with Matlab  M_i_i_12
و المحتوى كما يلي :


Contents
1 Artiϐicial Neural Network
1. 1 Artiϐicial Neuron
1. 2 Overview of Artiϐicial Neural Network
1. 3 Backpropagation Neural Network
1. 4 Hopϐield Neural Network
1. 5 Competitive Neural Network
1. 6 Deep Neural Network
References
2 Convolutional Neural Network
2. 1 Overview of Convolutional Neural Network
2. 2 Neural Network Performance Evaluation
2. 3 Transfer Learning with Convolutional Neural Network
2. 4 Research Progress of Neural Network
References
3 Fuzzy Computing
3. 1 Overview of Fuzzy Computing
3. 2 Fuzzy Sets
3. 3 Fuzzy Pattern Recognition
3. 4 Fuzzy Clustering
3. 5 Fuzzy Inference
3. 6 Fuzzy Control System
3. 7 Fuzzy Logic Designer
References
4 Fuzzy Neural Network
4. 1 Overview of Fuzzy Neural Network4. 2 Adaptive Fuzzy Neural Inference System
4. 3 Time Series Prediction
4. 4 Interval Type-2 Fuzzy Logic
4. 5 Fuzzy C-means Clustering
4. 6 Suburban Commuting Prediction Problem
4. 7 Research Progress of Fuzzy Computing
References
5 Evolutionary Computing
5. 1 Overview of Evolutionary Computing
5. 2 Simple Genetic Algorithm
5. 3 Genetic Algorithm for Travelling Salesman Problem
5. 4 Ant Colony Optimization Algorithm
5. 5 Particle Swarm Optimization Algorithm
5. 6 Differential Evolution Algorithm
References
6 Testing and Evaluation of Evolutionary Computing
6. 1 Test Set of Traveling Salesman Problem
6. 2 Test Set of Continuous Optimization Problem
6. 3 Evaluation of Continuous Optimization Problems
6. 4 Artiϐicial Bee Colony Algorithm
6. 5 Fireworks Algorithm
6. 6 Research Progress of Evolutionary Computing
References
References
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Deϐinitions and evaluation Criteria for the CEC 2020 special session and competition on single
objective bound constrained numerical optimization. Technical Report 201911,Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China, Nanyang
Technological University, Singapore
2. Tan Y (2015) Fireworks algorithm: a novel swarm intelligence optimization method. Springer,
Berlin
[Crossref][zbMATH]
3. Li J, Tan Y (2020) A comprehensive review of the ϐireworks algorithm. ACM Comput Survey
52:1–28
[Crossref]
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Advances in swarm intelligence. ICSI 2011. Lecture notes in computer science, vol 6728.
Springer, Berlin, Heidelberg, pp 303–309
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air robot path planning. Int J Intell Comput Cybern 7:24–37
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Rev 46:445–458
[Crossref]
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optimization. IEEE Trans Evol Comput 24(5):948–959
[Crossref]
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algorithm for intrusion detection data classiϐication. Neural Comput Applic 33:11861–11873.
https://doi.org/10.1007/s00521-021-05871-5
[Crossref]
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and genetic algorithm. Neural Comput Applic 34:19313–19341. https://doi.org/10.1007/
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[Crossref]
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weighted fuzzy c-means for clustering mixed numerical and categorical data. Neural Comput
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[Crossref]
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for service scheduling in internet of vehicles. Appl Soft Comput 143:110413. https://doi.org/
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[Crossref]
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improved ant colony algorithm. Neural Comput Applic 32:1555–1566. https://doi.org/10.
1007/s00521-019-04172-2
[Crossref]
13.Wu Z, Wu J, Zhao M et al (2021) Two-layered ant colony system to improve engraving robot’s
efϐiciency based on a large-scale TSP model. Neural Comput Applic 33:6939–6949. https://
doi.org/10.1007/s00521-020-05468-4
[Crossref]
14. Yu J, You X, Liu S (2022) Dynamically induced clustering ant colony algorithm based on a
coevolutionary chain. Knowl-Based Syst 251:109231. https://doi.org/10.1016/j.knosys.2022.
109231
[Crossref]
15. Shami TM, Mirjalili S, Al-Eryani Y et al (2023) Velocity pausing particle swarm optimization: a
novel variant for global optimization. Neural Comput Applic 35:9193–9223. https://doi.org/
10.1007/s00521-022-08179-0
[Crossref]
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dropout deep learning model for short-term load forecasting. Neural Comput Applic 35:2679–
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artiϐicial bee colony and wireless power transfer. IEEE Access 7:12686–12695
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optimization algorithm for improved breast cancer diagnosis. Neural Comput Applic
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57(1):706–720

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