Journal of Modeling and Optimization最新文献

Supervised Learning for Binary Classification on US Adult Income 美国成人收入二元分类的监督学习

Journal of Modeling and Optimization Pub Date : 2021-12-15 DOI: 10.32732/jmo.2021.13.2.80

Li‐Pang Chen

引用次数: 0

2D Analytical Model of Armature Reaction Magnetic Field Distribution in Slotless Permanent-Magnet Linear Tubular Machines 无槽永磁直线管式电机电枢反磁场分布的二维解析模型

Journal of Modeling and Optimization Pub Date : 2020-12-15 DOI: 10.32732/jmo.2020.12.2.110

A. Ghaffari

引用次数: 1

Prediction of Hole Expansion Ratio of Titanium Alloys Using R Programming 用R编程预测钛合金孔洞膨胀率

Journal of Modeling and Optimization Pub Date : 2020-12-15 DOI: 10.32732/jmo.2020.12.2.125

J. Kwame, E. Yakushina, P. Blackwell

{"title":"Prediction of Hole Expansion Ratio of Titanium Alloys Using R Programming","authors":"J. Kwame, E. Yakushina, P. Blackwell","doi":"10.32732/jmo.2020.12.2.125","DOIUrl":"https://doi.org/10.32732/jmo.2020.12.2.125","url":null,"abstract":"The hole expansion ratio (HER) is an important material property which defines the extent of edge formability of sheet metals. The stress states observed at the hole edge after the hole expansion test are similar to those seen during traditional uniaxial tensile deformation. This observation has provoked research, directed at ascertaining a correlation between the HER and tensile properties. In order to account for the forming behaviour of complex materials like titanium, a highly robust model that takes into account the material formability in all sheet-processing directions must be considered. The R programming language was used in this research to build a model fitting expression capable of predicting the HER as well as generating a regression model equation for titanium alloys, based on their thickness and Erichsen index number. The proposed regression model equation for predicting HER of titanium alloys exhibited an excellent statistical significance (p= 0.00076), indicating the robustness of the model fitting expression to predict HER values of titanium alloys. An accompanying adjusted R squared value of 0.9987 for the generated regression model equation also shows how well the regression line fits the data for accurate prediction of the HER of titanium alloys. A numerical validation analysis of the strength of the relationship derived between the predicted and the experimental HERs gave a correlation coefficient of 0.9884. This result shows a strong linear relationship between the experimental and predicted HER values of the titanium alloys with an average absolute error of 8.8%.","PeriodicalId":296436,"journal":{"name":"Journal of Modeling and Optimization","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114615769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting of Summer Monsoon Rainfall over Gangetic West Bengal, India Utilising Intrinsic Mode Functions, Linear and Neural Regression 利用固有模态函数、线性和神经回归预测印度恒河西孟加拉邦夏季季风降雨

Journal of Modeling and Optimization Pub Date : 2020-06-15 DOI: 10.32732/jmo.2020.12.1.60

P. Basak

{"title":"Forecasting of Summer Monsoon Rainfall over Gangetic West Bengal, India Utilising Intrinsic Mode Functions, Linear and Neural Regression","authors":"P. Basak","doi":"10.32732/jmo.2020.12.1.60","DOIUrl":"https://doi.org/10.32732/jmo.2020.12.1.60","url":null,"abstract":"The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.","PeriodicalId":296436,"journal":{"name":"Journal of Modeling and Optimization","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127117933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Numerical Simulation of Air Shock Wave Propagation Effects in Reinforced Concrete Columns 钢筋混凝土柱中空气冲击波传播效应的数值模拟

Journal of Modeling and Optimization Pub Date : 2020-06-15 DOI: 10.32732/jmo.2020.12.1.12

E. Akhlaghi

引用次数: 1

Artificial Neural Network Simulations of Human Learning Suggest the Presence of Metastable Attractors in Visual Memory 人类学习的人工神经网络模拟表明视觉记忆中存在亚稳态吸引子

Journal of Modeling and Optimization Pub Date : 2020-06-15 DOI: 10.32732/jmo.2020.12.1.1

Philippe Chassy, F. Surre

{"title":"Artificial Neural Network Simulations of Human Learning Suggest the Presence of Metastable Attractors in Visual Memory","authors":"Philippe Chassy, F. Surre","doi":"10.32732/jmo.2020.12.1.1","DOIUrl":"https://doi.org/10.32732/jmo.2020.12.1.1","url":null,"abstract":"The attractor hypothesis states that knowledge is encoded as topologically-defined, stable configurations of connected cell assemblies. Irrespective to its original state, a network encoding new information will thus self-organize to reach the necessary stable state. To investigate memory structure, a multimodular neural network architecture, termed Magnitron, has been developed. Magnitron is a biologically-inspired cognitive architecture that simulates digit recognition. It implements perceptual input, human visual long-term memory in the ventral visual pathway and, to a lesser extent, working memory processes. To test the attractor hypothesis a Monte Carlo simulation of 10,000 individuals has been run. Each simulated learner was trained in recognizing the ten digits from novice to expert stage. The results replicate several features of human learning. First, they show that random connectivity in long-term visual memory accounts for novices’ performance. Second, the learning curves revealed that Magnitron simulates the well-known psychological power law of practice. Third, after learning took place, performance departed from chance level and reached a minimum target of 95% of correct hits; hence simulating human performance in children (i.e., when digits are learned). Magnitron also replicates biological findings. In line with research using voxel-based morphometry, Magnitron showed that matter density increases while training is taken place. Crucially, the spatial analysis of the connectivity patterns in long-term visual memory supported the hypothesis of a stable attractor. The significance of these results regarding memory theory is discussed.","PeriodicalId":296436,"journal":{"name":"Journal of Modeling and Optimization","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115905515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pre-processing Protocol for Nonlinear Regression of Uneven Spaced-Data 非均匀空间数据非线性回归预处理协议

Journal of Modeling and Optimization Pub Date : 2020-06-15 DOI: 10.32732/jmo.2020.12.1.23

P. Panja, Pranay Asai, R. Velasco, M. Deo

引用次数: 0

Using Evolutionary Algorithms to Achieve Sustainable Solutions through Household Appliances 利用进化算法实现家用电器的可持续解决方案

Journal of Modeling and Optimization Pub Date : 2019-12-15 DOI: 10.32732/JMO.2019.11.2.69

Ricardo Santos, J. Matias, A. Abreu

{"title":"Using Evolutionary Algorithms to Achieve Sustainable Solutions through Household Appliances","authors":"Ricardo Santos, J. Matias, A. Abreu","doi":"10.32732/JMO.2019.11.2.69","DOIUrl":"https://doi.org/10.32732/JMO.2019.11.2.69","url":null,"abstract":" In order to reach a sustainable planet, there is a permanent need by the consumer (decision- agent), to achieve sustainable solutions, with its decisions. Given the importance of the buildings, as a sector to achieve such solutions, as well as the diversity of household appliances existent on the market, with all its different issues, there are several tradeoffs to consider (e.g. energy and water consumption vs initial investment), which difficult the consumer’s choices from the market. The problem increases, since nowadays, the consumer tries to get a solution from the market, with a good compromise between the Economic, Social and Environmental dimensions, and according to its specific needs, which can be different from other consumers. By considering a multicriteria approach, combined with an optimization technique, based on Evolutionary Algorithms (EA), it’s provided a set of sustainable solutions from the market to the consumer that respects the compromise referred before. In this work, it is presented an approach to support a decision-agent (DA) (consumer), by performing a set of sustainable choices based on household appliances from the market and suitable to its needs. Based on the obtained solutions, several savings are achieved (electrical and water consumption, CO2 emissions), by considering the consumer’s relative importance, regarding its Economics, Environmental and Social concerns.","PeriodicalId":296436,"journal":{"name":"Journal of Modeling and Optimization","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116554073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assimilation of Standard Regularizer Contextual Model and Composite Kernel with Fuzzy-based Noise Classifier 基于模糊噪声分类器的标准正则化、上下文模型和复合核的同化

Journal of Modeling and Optimization Pub Date : 2019-06-15 DOI: 10.32732/JMO.2019.11.1.16

Ishuita Sengupta, Anil Kumar, R. Dwivedi

引用次数: 1

Robust Optimization of Road Vehicle Suspension Considering the Variation of Tire Vertical Stiffness 考虑轮胎垂直刚度变化的道路车辆悬架鲁棒优化

Journal of Modeling and Optimization Pub Date : 2019-06-15 DOI: 10.32732/JMO.2019.11.1.8

Liunan Yang, F. Ballo, G. Previati, M. Gobbi

引用次数: 1