Comparison on two case‐based reasoning strategies of automatically selecting terrain covariates for digital soil mapping

2021 ◽  
Author(s):  
Peng Liang ◽  
Cheng‐Zhi Qin ◽  
A‐Xing Zhu
Keyword(s):  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Case Based Reasoning ◽  
Reasoning Strategies ◽  
Case Based

scholarly journals A case-based method of selecting covariates for digital soil mapping

2020 ◽  
Vol 19 (8) ◽  
pp. 2127-2136
Author(s):  
Peng LIANG ◽  
Cheng-zhi QIN ◽  
A-xing ZHU ◽  
Zhi-wei HOU ◽  
Nai-qing FAN ◽  
...  
Keyword(s):  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Case Based

A Case-based Reasoning Approach to Fuzzy Soil Mapping

2004 ◽  
Vol 68 (3) ◽  
pp. 885-894 ◽  
Author(s):  
Xun Shi ◽  
A-Xing Zhu ◽  
James E. Burt ◽  
Feng Qi ◽  
Duane Simonson
Keyword(s):  
Soil Mapping ◽  
Case Based Reasoning ◽  
Case Based

A Case-based Reasoning Approach to Fuzzy Soil Mapping

2004 ◽  
Vol 68 (3) ◽  
pp. 885 ◽  
Author(s):  
Xun Shi ◽  
A-Xing Zhu ◽  
James E. Burt ◽  
Feng Qi ◽  
Duane Simonson
Keyword(s):  
Soil Mapping ◽  
Case Based Reasoning ◽  
Case Based

Application of legacy soil data in digital soil mapping for the elaboration of novel, countrywide maps of soil conditions

2014 ◽  
Vol 63 (1) ◽  
pp. 79-88 ◽  
Author(s):  
László Pásztor ◽  
E. Dobos ◽  
G. Szatmári ◽  
A. Laborczi ◽  
K. Takács ◽  
...  
Keyword(s):  
Object Oriented ◽  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Soil Conditions ◽  
Related Information ◽  
Soil Information

The main objective of the DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in Hungary) project is to significantly extend the potential, how demands on spatial soil related information could be satisfied in Hungary. Although a great amount of soil information is available due to former mappings and surveys, there are more and more frequently emerging discrepancies between the available and the expected data. The gaps are planned to be filled with optimized digital soil mapping (DSM) products heavily based on legacy soil data, which still represent a valuable treasure of soil information at the present time. The paper presents three approaches for the application of Hungarian legacy soil data in object oriented digital soil mapping.

Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Classification Problem ◽  
Subject Area ◽  
Text Messages ◽  
Case Based Reasoning ◽  
Short Text ◽  
Proposed Modification ◽  
Voice Interaction ◽  
Text Content ◽  
Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

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