Parameter Optimization in Cutting Process Database Based on Compounded Reasoning

2012 ◽  
Vol 271-272 ◽  
pp. 457-460
Author(s):  
Fei Xue ◽  
Xiao Feng Zhang
Keyword(s):  
Parameter Optimization ◽  
Cutting Parameters ◽  
Cutting Process ◽  
Case Based Reasoning ◽  
Selection Efficiency ◽  
Open Case ◽  
Similarity Calculation ◽  
Process Database ◽  
Case Characteristics ◽  
Case Based

Cutting process consists of many interaction parameters, the interrelationship of these parameters is developed, the cutting process database based on case and optimization is discussed. The cutting parameters are provided by means of the combination of case-based reasoning and optimization, the case database is established with experience, the cutting parameters are proposed, the optimization is applied when no information is in the case database, and the new data will be saved as a new case after it is verified by manufactured. The selection efficiency and precision of cutting parameters are improved by the means of case characteristics similarity calculation retrieval. The program is expansible in the way of open case storage.

Classification Algorithm of Case Retrieval Based on Granularity Calculation of Quotient Space

2020 ◽  
pp. 2150003
Author(s):  
Jiaxing Lu ◽  
Jiang Qing ◽  
Huang He ◽  
Zhang Zhengyong ◽  
Wang Rujing
Keyword(s):  
Quotient Space ◽  
Inner Product ◽  
Retrieval Algorithm ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Current Case ◽  
Quotient Spaces ◽  
Similarity Calculation ◽  
Key Steps ◽  
Case Based

Case retrieval is one of the key steps of case-based reasoning. The quality of case retrieval determines the effectiveness of the system. The common similarity calculation methods based on attributes include distance and inner product. Different similarity calculations have different influences on the effect of case retrieval. How to combine different similarity calculation results to get a more widely used and better retrieval algorithm is a hot issue in the current case-based reasoning research. In this paper, the granularity of quotient space is introduced into the similarity calculation based on attribute, and a case retrieval algorithm based on granularity synthesis theory is proposed. This method first uses similarity calculation of different attributes to get different results of case retrieval, and considers that these classification results constitute different quotient spaces, and then organizes these quotient spaces according to granularity synthesis theory to get the classification results of case retrieval. The experimental results verify the validity and correctness of this method and the application potential of granularity calculation of quotient space in case-based reasoning.

scholarly journals Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jianping Sun ◽  
Hantao Cao ◽  
Biao Geng ◽  
Zhaoping Tang ◽  
Xiaopeng Li
Keyword(s):  
Nearest Neighbor ◽  
Structural Similarity ◽  
Empirical Method ◽  
Case Based Reasoning ◽  
Local Similarity ◽  
Demand Prediction ◽  
Railway Traffic ◽  
Proposed Model ◽  
Similarity Calculation ◽  
Case Based

The demand prediction of emergency resources is helpful for rational allocation and optimization of emergency resources for railway rescue when emergency incident occurs. In this paper, a case base containing China railway traffic accident that has occurred since 1978 is established, and the case-based reasoning (CBR) method is applied in railway emergency resource demand predicting research. The core case attributes of railway emergencies are described. In view of the attribute types of railway emergency cases, five types of attributes, including enumeration, numerical, interval, character and fuzzy type, are considered, and the local similarity calculation models of different attributes are given. In order to avoid the problem of missing attribute in the traditional nearest neighbor algorithm, a global case similarity calculation method based on structural similarity and attribute similarity is designed. The empirical results show that case 3 is the most similar to the target case, and the calculating quantities of the proposed model are closer to the actual usage quantity and more accurate in the demand prediction of railway emergency resources, compared with the traditional empirical method. The relative errors of demand forecasts for the 9 resources have been, respectively, reduced by 15.9884%, 15.1471%, 6.4286%, 17.1429%, 66.6667%, 38.8889%, 27.5%, 0%, and 17.7778%. Therefore, the proposed model is both reasonable and applicable. The research results are of great significance to effectively deal with railway emergencies.

Extension Case-Based Reasoning for Product Configuration Design

2009 ◽  
Vol 69-70 ◽  
pp. 616-620 ◽  
Author(s):  
Yan Wei Zhao ◽  
F. Zhang ◽  
M.Y. Zhang ◽  
Jian Chen ◽  
N. Su
Keyword(s):  
Solution Space ◽  
Product Configuration ◽  
Configuration Design ◽  
Prototype System ◽  
Case Based Reasoning ◽  
Final Configuration ◽  
Similarity Calculation ◽  
Overall Evaluation ◽  
Configuration Scheme ◽  
Case Based

The interface was regarded as standard and not considered in traditional configuration design, which made it difficult to apply to the existence product configuration. The paper proposes an extension case-based reasoning for product configuration design. With matter-elements, reasoning model of Extension Case-Based Reasoning (ECBR) is established, and its corresponding algorithm is proposed. During the configuration design, the solution space of configuration schemes is obtained by the similarity calculation, and then the overall evaluation of similarity and compatible degrees is adopted to form the final configuration scheme. A prototype system of reducer configuration design is successfully developed according to the method, and it proves the proposed method that is feasible and effective.

The Optimization on Case-Based Reasoning to Processing Piece Large Cylinders of Heavy Cutting Process

2011 ◽  
Vol 188 ◽  
pp. 340-343 ◽  
Author(s):  
Y.H. Shen ◽  
Yi Wen Wang ◽  
Tao Chen ◽  
Hai Ying Han ◽  
H. Zhang
Keyword(s):  
Optimal Solution ◽  
Cutting Process ◽  
Case Based Reasoning ◽  
Technical Property ◽  
Actual Case ◽  
Processed Material ◽  
Large Cylinder ◽  
Case Based

The large cylinder is difficult processed material, which be based on the analysis of the processing feature of large cylinder, the method is proposed on the basics of actual case resemblance, the optimal solution is educed by calculating the vocal and the whole similarity with the technical property. The preferred system can be provided for the processing of process.

scholarly journals Research on High Speed Cutting Parameter Optimization and Fault Diagnosis Technology

2014 ◽  
Vol 6 ◽  
pp. 281216 ◽  
Author(s):  
Honggen Zhou ◽  
Xuwen Jing ◽  
Lei Wang ◽  
Kaiyun Dai ◽  
Jia Yongpeng
Keyword(s):  
Mathematical Model ◽  
Fault Diagnosis ◽  
Parameter Optimization ◽  
High Speed ◽  
Cutting Parameters ◽  
Cutting Process ◽  
High Speed Cutting ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization ◽  
The Mathematical Model

High speed cutting process is a very complicated process; cutting parameters have a significant effect on cutting process and play a key role in the process of product manufacturing. The overall scheme of high speed cutting parameter optimization and its fault diagnosis have been introduced. The mathematical model of the selected cutting parameters was established and the optimized parameters were obtained by combining the experimental design with the technology of data processing. The statistical description of high speed cutting process control was introduced and the fault diagnosis model of cutting parameter optimization by using the neural network was proposed. Finally, the mathematical model in the present study is validated with a numerical example. The results show that the present method solved the problem of poor universality of high speed cutting data effectively and avoided the inaccuracy of physical and chemical mechanism research. Meanwhile, the present study prevents the passive checks of the cutting and gets better diagnosis of the complicated cutting fault type.

Case-Based Support to Sustainable Interoperability and Decision in Enterprise Networks

2016 ◽  
Author(s):  
Maria Marques ◽  
Carlos Agostinho ◽  
Ricardo Jardim-Gonçalves
Keyword(s):  
Business Models ◽  
Virtual Enterprise ◽  
Case Based Reasoning ◽  
Market Forces ◽  
Semantic Translation ◽  
Similarity Calculation ◽  
Service Redesign ◽  
Translation Services ◽  
A Company ◽  
Case Based

Nowadays companies do not thrive solely through their own individual efforts and isolated knowledge. Enterprises have to become agile, sensitive to changes in market forces, and capable of responding with incremental modifications in business and services provided (adaptation) as well as anticipating radical changes by responding with new and breakthrough business models (innovation). This involves a mix of both cooperative and competitive elements, where decision support, evolving information systems, and the use of networking concepts such as the virtual enterprise or the enterprise ecosystem is becoming more common. The approach here presented aims at facilitating and sustaining interoperability in a dynamic networked enterprise environment. Relying on domain-based semantic translation services, sustainable interoperability enables each organization to keep its own terminology and seamlessly communicate with others (i.e. enterprise interoperability). This work contributes to that paradigm, proposing a novel mechanism based in probabilistic analysis (PA), case-based reasoning (CBR) and similarity calculation (SC) to support decision, service redesign and mapping modifications, e.g. when a company changes its internal model but wants to ensure that communication with external entities is not affected.

scholarly journals Case-Based Reasoning for Stroke Disease Diagnosis

2018 ◽  
Vol 12 (1) ◽  
pp. 33 ◽  
Author(s):  
Nelson Rumui ◽  
Agus Harjoko ◽  
Aina Musdholifah
Keyword(s):  
Blood Flow ◽  
Cerebrovascular Disease ◽  
Cross Validation ◽  
High Sensitivity ◽  
Disease Diagnosis ◽  
Case Based Reasoning ◽  
Similarity Calculation ◽  
The Brain ◽  
Fold Cross Validation ◽  
Case Based

Stroke is a type of cerebrovascular disease that occurs because blood flow to the brain is disrupted. Examination of stroke accurately using CT scan, but the tool is not always available, so it can be done by the Siriraj Score. Each type of stroke has similar symptoms so doctors should re-examine similar cases prior to diagnosis. The hypothesis of the Case-based reasoning (CBR) method is a similar problems having similar solution.This research implements CBR concept using Siriraj score, dense index and Jaccard Coeficient method to perform similarity calculation between cases.The test is using k-fold cross validation with 4 fold and set values of threshold (0.65), (0.7), (0.75), (0.8), (0.85), (0.9), and (0.95). Using 45 cases of data test  and 135 cases of case base. The test showed that threshold of 0.7 is suitable to be applied in sensitivity (89.88%) and accuracy (84.44% for CBR using indexing and 87.78% for CBR without indexing). Threshold of 0.65 resulted high sensitivity  and accuracy but showed many cases of irrelevant retrieval results. Threshold (0.75), (0.8), (0.85), (0.9) and (0.95) resulted in sensitivity (65.48%, 59.52%, 5.95%, 3,57% and 0%) and accuracy of CBR using indexing (61.67%, 55.56%, 5.56%, 3.33%, and 0%) and accuracy of CBR without indexing (62.78% 56.67%, 55.56%, 5.56%, 3.33%, and 0%).

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