Building case-based preliminary design systems: A Hopfield network approach

1994 ◽  
Vol 9 (4) ◽  
pp. 329-341
Author(s):  
Wei Wu ◽  
Wanxie Zhong ◽  
Zhijin Sheng
Keyword(s):  
Hopfield Network ◽  
Preliminary Design ◽  
Network Approach ◽  
Design Systems ◽  
Case Based

scholarly journals Neural Flows in Hopfield Network Approach

2013 ◽  
Vol 57 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Carmen Ionescu ◽  
Emilian Panaitescu ◽  
Mihai Stoicescu
Keyword(s):  
Neural Networks ◽  
Hopfield Network ◽  
Large Network ◽  
Cable Equation ◽  
Network Approach ◽  
Biological Complexity ◽  
Reduction Procedure ◽  
Real Neuron ◽  
Complex Models ◽  
Simple Reduction

Abstract In most of the applications involving neural networks, the main problem consists in finding an optimal procedure to reduce the real neuron to simpler models which still express the biological complexity but allow highlighting the main characteristics of the system. We effectively investigate a simple reduction procedure which leads from complex models of Hodgkin-Huxley type to very convenient binary models of Hopfield type. The reduction will allow to describe the neuron interconnections in a quite large network and to obtain information concerning its symmetry and stability. Both cases, on homogeneous voltage across the membrane and inhomogeneous voltage along the axon will be tackled out. Few numerical simulations of the neural flow based on the cable-equation will be also presented.

The Architecture and Application of Preliminary Design Systems

2011 ◽  
Author(s):  
Fabian Donus ◽  
Stefan Bretschneider ◽  
Reinhold Schaber ◽  
Stephan Staudacher
Keyword(s):  
Conceptual Design ◽  
Design System ◽  
Target Market ◽  
Preliminary Design ◽  
Design Phase ◽  
Planning Phase ◽  
Conceptual Design Phase ◽  
Engine Design ◽  
Design Systems ◽  
Aero Engines

The development of every new aero-engine follows a specific process; a sequence of steps or activities which an enterprise employs to conceive, design and commercialize a product. Typically, it begins with the planning phase, where the technology developments and the market objectives are assessed; the output of the planning phase is the input to the conceptual design phase where the needs of the target market are then identified, and alternative product concepts are generated and evaluated, and one or more concepts are subsequently selected for further development based on the evaluation. For aero-engines, the main goal of this phase is therefore to find the optimum engine cycle for a specific set of boundary conditions. This is typically done by conducting parameter studies where every calculation point within the study characterizes one specific engine design. Initially these engines are represented as pure performance cycles. Subsequently, other disciplines, such as Aerodynamics, Mechanics, Weight, Cost and Noise are accounted for to reflect interdisciplinary dependencies. As there is only very little information known about the future engine at this early phase of development, the physical design algorithms used within the various discipline calculations must, by default, be of a simple nature. However, considering the influences among all disciplines, the prediction of the concept characteristics translates into a very challenging and time intensive exercise for the pre-designer. This is contradictory to the fact that there are time constraints within the conceptual design phase to provide the results. Since the early 1970’s, wide scale efforts have been made to develop tools which address the multidisciplinary design of aero-engines within this phase. These tools aim to automatically account for these interdisciplinary dependencies and to decrease the time used to provide the results. Interfaces which control the input and output between the various subprograms and automated checks of the calculation results decrease the possibility of user errors. However, the demands on the users of such tools are expected to even increase, as such systems can give the impression that the calculations are inherently performed correctly. The presented paper introduces MTU’s preliminary design system Modular Performance and Engine Design System (MOPEDS). The results of simple calculation examples conducted using MOPEDS show the influences of the various disciplines on the overall engine system and are used to explain the architecture of such complex design systems.

scholarly journals Supporting the use of algorithmic design in architecture: An empirical study of reuse of design knowledge

2021 ◽  
Author(s):  
◽  
Anastasia Globa
Keyword(s):  
Design Patterns ◽  
Design Education ◽  
Statistical Significance ◽  
Design Methods ◽  
Design Knowledge ◽  
Control Group ◽  
Design Exploration ◽  
Design Systems ◽  
Algorithmic Design ◽  
Case Based

<p>This thesis tests the reuse of design knowledge as a method to support learning and use of algorithmic design in architecture.  The use of algorithmic design systems and programming environments offer architects immense opportunities, providing a powerful means to create geometries and allowing dynamic design exploration, but it can also impose substantial challenges. Architects often struggle with adopting algorithmic design methods (translating a design idea into an algorithm of actions), as well as with the implementation of programming languages, the latter often proving frustrating and creating barriers for both novice and advanced software users.  The proposition explored in this thesis is that the reuse of design knowledge can improve architects’ ability to use algorithmic design systems, and reduce the barriers for using programming. This study explores and compares two approaches as a means of accessing and reusing existing design solutions. The first approach is the reuse of abstract algorithmic ‘Design Patterns’. The second is the reuse of algorithmic solutions from specific design cases (Case-Based Design).  The research was set up as an experimental comparative study between three test groups: one group using Design Patterns, a second group using Case-Based Design, and the control group. A total of 126 designers participated in the study providing sufficient numbers within each group to permit rigorous studies of the statistical significance of the observed differences.  Results of this study illustrate that the systematic inclusion of the Design Patterns approach to the learning strategy of programming in architecture and design, proves to be highly beneficial. The use of abstract solutions improves designers’ ability to overcome programming barriers, and helps architects to adopt algorithmic design methods. The use of Design Patterns also encourages design exploration and experimentation. The use of the Case-Based Design approach seems to be more effective after designers and architects, who are novices in programming, gain more experience with the tool. It encourages more focused reasoning, oriented to the realisation of a particular (originally intended) design outcome.  The contribution of this research is to provide empirical evidence that the reuse of abstract and case-based algorithmic solutions can be very beneficial. Results of this study illustrate that both reuse methods can be strategically integrated into design education and architectural practice, supporting learning and use of algorithmic design systems in architecture. The study also identifies potential weaknesses of each approach, proposing areas which could be addressed by future studies.</p>

scholarly journals Exploring case-Based building design—CADRE

1993 ◽  
Vol 7 (2) ◽  
pp. 135-143 ◽  
Author(s):  
Kefeng Hua ◽  
Boi Faltings
Keyword(s):  
Building Design ◽  
Design System ◽  
Case Based Reasoning ◽  
General Applicability ◽  
Rule Based ◽  
Design Systems ◽  
Case Based

Case-based design promises important advantages over rule-based design systems. However, the actual implementation of the paradigm poses many problems which put the advantages into question. In our work on CADRE, a case-based building design system, we have encountered seven fundamental problems which we think are common to most case-based design systems. We describe the problems and the ways we either solved or worked around them in the CADRE system. This leads us to conclusions about the general applicability of case-based reasoning to building design.

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