• Produktbild: Biologically Inspired Techniques in Many-Criteria Decision Making
  • Produktbild: Biologically Inspired Techniques in Many-Criteria Decision Making
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Biologically Inspired Techniques in Many-Criteria Decision Making International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.01.2021

Herausgeber

Satchidananda Dehuri + weitere

Verlag

Springer

Seitenzahl

258

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

423 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-39035-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.01.2021

Herausgeber

Verlag

Springer

Seitenzahl

258

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

423 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-39035-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Biologically Inspired Techniques in Many-Criteria Decision Making
  • Produktbild: Biologically Inspired Techniques in Many-Criteria Decision Making
  • Chapter 1: Classification of Arrhythmia Using Artificial Neural Network with Grey Wolf Optimization.- Chapter 2: Multi-objective Biogeography-Based Optimization for Influence Maximization-Cost Minimization in Social Networks.- Chapter 3: Classification of Credit Dataset Using Improved Particle Swarm Optimization Tuned Radial Basis Function Neural Networks.- Chapter 4: Multi-verse Optimization of Multilayer Perceptrons (MV-MLPs) for Efficient Modeling and Forecasting of Crude Oil Prices Data.- Chapter 5: Application of machine learning to predict diseases based on symptoms in rural India.- Chapter 6: Classıfıcatıon of Real Tıme Noısy Fıngerprınt Images Usıng FLANN.- Chapter 7: Software Reliability Prediction with Ensemble Method and Virtual Data Point Incorporation.- Chapter 8: Hyperspectral Image Classification using Stochastic Gradient Descent based Support Vector Machine.- Chapter 9: A Survey on Ant Colony Optimization for Solving Some of the Selected NP-Hard Problem.- Chapter 10: Machine Learning Models for Stock Prediction using Real-Time Streaming Data.- Chapter 11: Epidemiology of Breast Cancer (BC) and its Early Identification via Evolving Machine Learning Classification Tools (MLCT)–A Study.- Chapter 12: Ensemble Classification Approach for Cancer Prognosis and Prediction.- Chapter 13: Extractive Odia Text Summarization System: An OCR based Approach.- Chapter 14: Predicting sensitivity of local news articles from Odia dailies.- Chapter 15: A systematic frame work using machine learning approaches in supply chain forecasting.- Chapter 16: An Intelligent system on computer-aided diagnosis for Parkinson’s disease with MRI using Machine Learning.- Chapter 17: Operations on Picture Fuzzy Numbers and their Application in Multi-Criteria Group Decision Making Problems.- Chapter 18: Some Generalized Results on Multi-Criteria Decision Making Model using Fuzzy TOPSIS Technique.- Chapter 19: A Survey on FP-Tree Based Incremental Frequent Pattern Mining.- Chapter 20: Improving Co-expressed Gene Pattern Finding Using Gene Ontology.- Chapter 21: Survey of Methods Used for Differential Expression Analysis on RNA Seq Data.- Chapter 22: Adaptive Antenna Tilt for Cellular Coverage Optimization in Suburban Scenario.- Chapter 23: A survey of the different itemset representation for candidate.