scholarly journals Generation of Floor Plan Variations with Convolutional Neural Networks and Case-based Reasoning An approach for transformative adaptation of room configurations within a framework for support of early conceptual design phases

2019 ◽  
Author(s):  
Viktor Eisenstadt ◽  
Christoph Langenhan ◽  
Klaus-Dieter Althof
Keyword(s):  
Neural Networks ◽  
Conceptual Design ◽  
Convolutional Neural Networks ◽  
Case Based Reasoning ◽  
Floor Plan ◽  
Transformative Adaptation ◽  
Case Based

scholarly journals Using extended siamese networks to provide decision support in aquaculture operations

2021 ◽  
Author(s):  
Bjørn Magnus Mathisen ◽  
Kerstin Bach ◽  
Agnar Aamodt
Keyword(s):  
Neural Networks ◽  
Decision Support ◽  
Similar Case ◽  
Decision Makers ◽  
Similarity Function ◽  
Case Based Reasoning ◽  
Similarity Learning ◽  
Reasoning System ◽  
Siamese Networks ◽  
Case Based

AbstractAquaculture as an industry is quickly expanding. As a result, new aquaculture sites are being established at more exposed locations previously deemed unfit because they are more difficult and resource demanding to safely operate than are traditional sites. To help the industry deal with these challenges, we have developed a decision support system to support decision makers in establishing better plans and make decisions that facilitate operating these sites in an optimal manner. We propose a case-based reasoning system called aquaculture case-based reasoning (AQCBR), which is able to predict the success of an aquaculture operation at a specific site, based on previously applied and recorded cases. In particular, AQCBR is trained to learn a similarity function between recorded operational situations/cases and use the most similar case to provide explanation-by-example information for its predictions. The novelty of AQCBR is that it uses extended Siamese neural networks to learn the similarity between cases. Our extensive experimental evaluation shows that extended Siamese neural networks outperform state-of-the-art methods for similarity learning in this task, demonstrating the effectiveness and the feasibility of our approach.

Using the points of large cases

1993 ◽  
Vol 7 (2) ◽  
pp. 87-96 ◽  
Author(s):  
Eric Domeshek ◽  
Janet Kolodner
Keyword(s):  
Conceptual Design ◽  
Strategic Choice ◽  
Complex Case ◽  
Case Based Reasoning ◽  
Design Case ◽  
Case Based ◽  
Open Issues

We believe that case-based reasoning (CBR) will prove applicable to design, at least in part, as we have seen designers making extensive use of past cases. Construction of useful systems, however, requires the resolution of many open issues. In this paper we consider three issues in particular: (1) What sort of content should be captured in a design case? (2) How should the content of a complex case be segmented into chunks for use? (3) How should the resulting chunks be indexed for retrieval? These are among the issues we are seeking to address through construction of Archie-II, a case-based aid for conceptual design in architecture. In addition to our approaches to these issues, this paper also discusses our strategic choice to build a design aiding system as opposed to a system that generates designs on its own.

scholarly journals Approximate case-based reasoning on neural networks

1994 ◽  
Vol 10 (1) ◽  
pp. 75-98 ◽  
Author(s):  
Zuliang Shen ◽  
Ho Chung Lui ◽  
Liya Ding
Keyword(s):  
Neural Networks ◽  
Case Based Reasoning ◽  
Case Based

An Approach to Computer Aided Conceptual Design of the Mechanical Products With Middle Complex Level

2001 ◽  
Author(s):  
Cheng Xu ◽  
Yongjuan Wang ◽  
Changyi Liu
Keyword(s):  
Conceptual Design ◽  
Comprehensive Evaluation ◽  
Object Oriented ◽  
Parametric Model ◽  
Case Based Reasoning ◽  
Software System ◽  
Rule Based ◽  
Mechanical Products ◽  
Prototype Software ◽  
Case Based

Abstract An approach synthesized with comprehensive evaluation & decision, rule-based reasoning, case-based reasoning and 3D parametric model are proposed to solve the problems of automation of the conceptual design of the mechanical products with middle complex level. A prototype software system for automatic rifle layout design was implemented using the object-oriented language — C++ based on this approach. The results running the prototype software system can well meet the demands of conceptual design of these complex level products.

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