Reinforcement of Comprehensive Synthetic Engineering to Solve Societal Problems
نویسندگان
چکیده
منابع مشابه
Childhood obesity: a societal problem to solve.
In contrast to other threats to American children's health, the treatment and prevention of childhood obesity are considered the responsibility of individual children and their parents. This pressure exists in the context of the societal stigmatization of overweight children and the powerful environmental inducements aimed directly at children to eat nutritionally poor foods. Parents of overwei...
متن کاملUsing simulation software to solve engineering economy problems
Some information required for solving problems in engineering economy problems can be fairly well defined. Much required information is uncertain, such as the actual cash flows from revenues and costs, the salvage value of equipment, the interest rate or even the project life. Engineering economy problems with all deterministic inputs are actually special cases. Probability descriptions of inpu...
متن کاملLearning to Solve ‘Design Problems’ in Engineering Education
Problem solving is a special kind of skill to learn. It is unlike many other learning outcomes. There are many different kinds of problems which exist, with design problems being kind of problems with their own characteristics. Design problems are characterised by the fact that they are often complex, ill-defined and with no singular process model. Solving design problems requires system, proce...
متن کاملUsing MOLP based procedures to solve DEA problems
Data envelopment analysis (DEA) is a technique used to evaluate the relative efficiency of comparable decision making units (DMUs) with multiple input-output. It computes a scalar measure of efficiency and discriminates between efficient and inefficient DMUs. It can also provide reference units for inefficient DMUs without consideration of the decision makers’ (DMs) preferences. In this paper, ...
متن کاملA Neural Network Model to Solve DEA Problems
The paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TRENDS IN THE SCIENCES
سال: 2017
ISSN: 1342-3363,1884-7080
DOI: 10.5363/tits.22.12_48