Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization
Authors
Keywords
Neural networks, Water wave optimization, Meta-Lamarckian learning, Prediction of mechanical properties
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-03-24
DOI
10.1007/s00521-019-04149-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Soft Computing based object detection and tracking approaches: State-of-the-Art survey
- (2018) Manisha Kaushal et al. APPLIED SOFT COMPUTING
- A disease diagnosis and treatment recommendation system based on big data mining and cloud computing
- (2018) Jianguo Chen et al. INFORMATION SCIENCES
- A periodicity-based parallel time series prediction algorithm in cloud computing environments
- (2018) Jianguo Chen et al. INFORMATION SCIENCES
- A new dynamic firefly algorithm for demand estimation of water resources
- (2018) Hui Wang et al. INFORMATION SCIENCES
- EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation
- (2018) Alejandro Martín et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Deep learning aided decision support for pulmonary nodules diagnosing: a review
- (2018) Yixin Yang et al. Journal of Thoracic Disease
- A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem
- (2018) Ling Wang et al. Swarm and Evolutionary Computation
- Performance-Aware Model for Sparse Matrix-Matrix Multiplication on the Sunway TaihuLight Supercomputer
- (2018) Yuedan Chen et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning
- (2018) Jianguo Chen et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks
- (2018) Jianguo Chen et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- An improved TLBO based memetic algorithm for aerodynamic shape optimization
- (2017) Xinghua Qu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
- (2017) Jianguo Chen et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Firefly algorithm with neighborhood attraction
- (2017) Hui Wang et al. INFORMATION SCIENCES
- Computational prediction of mechanical properties of a C-Mn weld metal based on the microstructures and micromechanical properties
- (2017) Chengze Zhang et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Artificial neural network application to microstructure design of Nb-Si alloy to improve ultimate tensile strength
- (2017) Guangxu Liu et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Tracking topology structure adaptively with deep neural networks
- (2017) Xueying Shi et al. NEURAL COMPUTING & APPLICATIONS
- Evaluation of a pressure head and pressure zones in water distribution systems by artificial neural networks
- (2017) Jacek Dawidowicz NEURAL COMPUTING & APPLICATIONS
- Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks
- (2017) Mohammad Javad Shafiee et al. NEURAL PROCESSING LETTERS
- Effective training of convolutional neural networks for face-based gender and age prediction
- (2017) Grigory Antipov et al. PATTERN RECOGNITION
- Airline Passenger Profiling Based on Fuzzy Deep Machine Learning
- (2017) Yu-Jun Zheng et al. IEEE Transactions on Neural Networks and Learning Systems
- Artificial neural network application to study quantitative relationship between silicide and fracture toughness of Nb-Si alloys
- (2017) Guangxu Liu et al. MATERIALS & DESIGN
- Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System
- (2016) Handing Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An adaptive neuro-fuzzy inference system-based modelling to predict mechanical properties of hot-rolled TRIP steel
- (2016) S. Hore et al. IRONMAKING & STEELMAKING
- Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy
- (2016) Yudong Wang et al. KNOWLEDGE-BASED SYSTEMS
- Predicting river daily flow using wavelet-artificial neural networks based on regression analyses in comparison with artificial neural networks and support vector machine models
- (2016) Maryam Shafaei et al. NEURAL COMPUTING & APPLICATIONS
- Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity
- (2016) Farid García-Lamont et al. NEURAL COMPUTING & APPLICATIONS
- A genetic approach to automatic neural network architecture optimization
- (2016) K. G. Kapanova et al. NEURAL COMPUTING & APPLICATIONS
- A disjunctive convex programming approach to the pollution-routing problem
- (2016) Ricardo Fukasawa et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Firefly algorithm with random attraction
- (2016) Hui Wang et al. International Journal of Bio-Inspired Computation
- An Estimation of Distribution Algorithm-Based Memetic Algorithm for the Distributed Assembly Permutation Flow-Shop Scheduling Problem
- (2016) Sheng-Yao Wang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Water wave optimization: A new nature-inspired metaheuristic
- (2015) Yu-Jun Zheng COMPUTERS & OPERATIONS RESEARCH
- Prediction of the mechanical properties of hot rolling products by using attribute reduction ELM
- (2015) Xiaoyue Sui et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Parameter estimation of nonlinear chaotic system by improved TLBO strategy
- (2015) Hongjun Zhang et al. SOFT COMPUTING
- Evolutionary Design of Nickel-Based Superalloys Using Data-Driven Genetic Algorithms and Related Strategies
- (2014) R. Jha et al. MATERIALS AND MANUFACTURING PROCESSES
- Neural Networks Applied in Chemistry. II. Neuro-Evolutionary Techniques in Process Modeling and Optimization
- (2013) Hugh Cartwright et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Discrimination of bio-crystallogram images using neural networks
- (2013) Sevcan Unluturk et al. NEURAL COMPUTING & APPLICATIONS
- Teaching–learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems
- (2012) R. V. Rao et al. ENGINEERING OPTIMIZATION
- Data-Driven Pareto Optimization for Microalloyed Steels Using Genetic Algorithms
- (2012) Aman Kumar et al. STEEL RESEARCH INTERNATIONAL
- Gaussian Bare-Bones Differential Evolution
- (2012) Hui Wang et al. IEEE Transactions on Cybernetics
- A unified framework for population-based metaheuristics
- (2011) Bo Liu et al. ANNALS OF OPERATIONS RESEARCH
- Prediction of mechanical properties of Fe–Cr–Mo sintered steel in relationship with microstructure
- (2011) Lucia Čiripová et al. MATERIALS & DESIGN
- Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm
- (2011) Juan Peralta Donate et al. NEURAL COMPUTING & APPLICATIONS
- Chaotic annealing with hypothesis test for function optimization in noisy environments
- (2006) Hui Pan et al. CHAOS SOLITONS & FRACTALS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started