scholarly journals Decision-Making Model of Product Modeling Big Data Design Scheme Based on Neural Network Optimized by Genetic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ming Hu
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Decision Making ◽  
Big Data ◽  
Product Design ◽  
Final Decision ◽  
Product Modeling ◽  
Automatic Driving ◽  
Design Scheme ◽  
Decision Making Model

At present, machine learning artificial neural network technology, as one of the core technologies of enterprises, has received unprecedented attention. This technology is widely used in automatic driving, pattern recognition, teaching aid, product modeling, and other fields. According to the development of product design, this paper analyzes the factors that affect the decision-making of product design. The neural network optimized by genetic algorithm is studied, and the technical analysis of neural network algorithm before and after optimization is mainly carried out. The basic process of product modeling design model based on image processing under the background of big data is introduced. The multidirectional group decision-making model of product modeling design scheme in big data cloud environment is constructed. The final decision model can improve the overall design efficiency, shorten the manufacturing period, and provide a new idea for product modeling design.

Research on Evaluation and Decision-Making Model of Product Design Scheme Based on TFN-AHP-GRA

2011 ◽  
Vol 201-203 ◽  
pp. 1170-1176
Author(s):  
Xiao An Yang ◽  
Qian Deng ◽  
Guang Long Sun ◽  
Bing Bing Wang
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Form And Function ◽  
Design Scheme ◽  
Construction Methods ◽  
Methods Of Evaluation ◽  
Decision Making Model

In view of (Considering)the fuzziness of attribute information in process of scheme design for electromechanical product emphasizing both form and function, the construction methods of evaluation index during evaluation and decision-making on the scheme is studied, the construction methods of evaluation index system based on technology, aesthetics, economy and society is proposed, and the comprehensive evaluation and decision-making model of product design scheme that integrates Analytical Hierarchy Process(AHP), Triangular Fuzzy Numbers(TFN),and Gray Relating Analyze (GRA) is established. With evaluating and decision-making on three electric hair dryer cases, the effectiveness of the model and method is demonstrated indirectly by the contrast between the result and the share of sales of three electric hair dryers on the market.

scholarly journals Critical Decision Making Using Neural Networks

2018 ◽  
Vol 7 (4.10) ◽  
pp. 15 ◽  
Author(s):  
Rajat Bhati ◽  
Shubham Saraff ◽  
Chhandak Bagchi ◽  
V. Vijayarajan
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Decision Making ◽  
Emotional Intelligence ◽  
Final Decision ◽  
Computing Systems ◽  
Intelligent Decision Making ◽  
The Neural Network ◽  
Intelligent Decision ◽  
Car Accident

Decision Making influenced by different scenarios is an important feature that needs to be integrated in the computing systems. In this paper, the system takes prompt decisions in emotionally motivated use-cases like in an unavoidable car accident. The system extracts the features from the available visual and processes it in the Neural network. In addition to that the facial recognition plays a key role in returning factors critical to the scenario and hence alter the final decision. Finally, each recognized subject is categorized into six distinct classes which is utilised by the system for intelligent decision-making. Such a system can form the basis of dynamic and intelligent decision-making systems of the future which include elements of emotional intelligence.  

scholarly journals Do Women Affect the Final Decision on the Housing Market? A Case Study

2020 ◽  
Vol 12 (11) ◽  
pp. 4652
Author(s):  
Sabina Źróbek ◽  
Elżbieta Zysk ◽  
Mirosław Bełej ◽  
Natalija Lepkova
Keyword(s):  
Decision Making ◽  
Housing Market ◽  
Final Decision ◽  
Territorial Unit ◽  
The Social ◽  
Joint Decisions ◽  
Gradual Introduction ◽  
Decision Making Model ◽  
The Given

This article presents the results of research on the effect of the customer’s gender on the tenure choice (ownership or tenancy) on the housing market. In the study, an attempt has been made to investigate whether there is a significant role of women in making decisions in this market. The survey was conducted among residents of two cities—Olsztyn (Poland) and Vilnius (Lithuania). The obtained answers were subjected to a multi-dimensional categorical and quantitative analysis. The results showed, among others, that women generally have greater decision-making autonomy in residential issues than men, with Lithuanian women doing this much more often than Polish women. However, it should be noted that the dominant decision-making model in the housing market is the model of joint decisions taken by men and women. The results of the conducted analysis broaden the existing knowledge of the functioning of the housing market and may support the implementation of the pro-social and pro-sustainable spatial development policy of the given territorial unit. The results may also contribute to more sustainable development of enterprises in the housing construction sector. This is an important issue in a climate of intense competition between “providers” of flats and the gradual introduction of the idea of competition between them and the social environment.

An Edge-Based Distributed Decision-Making Method for Product Design Scheme Evaluation

2021 ◽  
Vol 17 (2) ◽  
pp. 1375-1385
Author(s):  
Shanhe Lou ◽  
Yixiong Feng ◽  
Zhiwu Li ◽  
Hao Zheng ◽  
Yicong Gao ◽  
...  
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Distributed Decision Making ◽  
Design Scheme ◽  
Edge Based ◽  
Scheme Evaluation ◽  
Distributed Decision

scholarly journals Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Lukas Falat ◽  
Dusan Marcek ◽  
Maria Durisova
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Decision Making ◽  
Soft Computing ◽  
Clustering Algorithm ◽  
Prediction Models ◽  
Moving Average ◽  
Series Data ◽  
Decision Making Process ◽  
Hybrid Neural Network

This paper deals with application of quantitative soft computing prediction models into financial area as reliable and accurate prediction models can be very helpful in management decision-making process. The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average. The moving average is supposed to enhance the outputs of the network using the error part of the original neural network. Authors test the suggested model on high-frequency time series data of USD/CAD and examine the ability to forecast exchange rate values for the horizon of one day. To determine the forecasting efficiency, they perform a comparative statistical out-of-sample analysis of the tested model with autoregressive models and the standard neural network. They also incorporate genetic algorithm as an optimizing technique for adapting parameters of ANN which is then compared with standard backpropagation and backpropagation combined withK-means clustering algorithm. Finally, the authors find out that their suggested hybrid neural network is able to produce more accurate forecasts than the standard models and can be helpful in eliminating the risk of making the bad decision in decision-making process.

An integrated neural network stochastic dynamic programming model for optimizing the operation policy of Aswan High Dam

2011 ◽  
Vol 42 (1) ◽  
pp. 50-67 ◽  
Author(s):  
A. H. El-Shafie ◽  
M. S. El-Manadely
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Dynamic Programming ◽  
Decision Maker ◽  
Stochastic Dynamic Programming ◽  
Programming Model ◽  
Stochastic Dynamic ◽  
Release Policy ◽  
Aswan High Dam ◽  
Decision Making Model

Developing optimal release policies of multipurpose reservoirs is very complex, especially for reservoirs within a stochastic environment. Existing techniques are limited in their ability to represent risks associated with deciding a release policy. The risk aspect of the decisions affects the design and operation of reservoirs. A decision-making model is presented that is capable of replicating the manner in which risks associated with reservoir release decisions are perceived, interpreted and compared by a decision-maker. The model is based on Neural Network (NN) theory. This decision-making model can be used with a Stochastic Dynamic Programming (SDP) approach to produce a NN-SDP model. The resulting integrated model allows the attitudes towards risk of a decision-maker to be considered explicitly in defining the optimal release policy. Clear differences in the policies generated from the basic SDP and the NN-SDP models are observed when examining the operation of Aswan High Dam (AHD). The NN-SDP model yields policies that are more reliable and resilient and less vulnerable than those obtained using the SDP model.

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

2017 ◽  
Vol 141 ◽  
pp. 19-26 ◽  
Author(s):  
Zeinab Arabasadi ◽  
Roohallah Alizadehsani ◽  
Mohamad Roshanzamir ◽  
Hossein Moosaei ◽  
Ali Asghar Yarifard
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Decision Making ◽  
Heart Disease ◽  
Disease Detection ◽  
Hybrid Neural Network ◽  
Computer Aided ◽  
Computer Aided Decision
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