scholarly journals Comparing function structures and pruned function structures for market price prediction: An approach to benchmarking representation inferencing value

2017 ◽  
Vol 31 (4) ◽  
pp. 550-566 ◽  
Author(s):  
Amaninder Singh Gill ◽  
Joshua D. Summers ◽  
Cameron J. Turner
Keyword(s):  
Predictive Model ◽  
Predictive Power ◽  
Market Price ◽  
Level Of Detail ◽  
Market Values ◽  
Price Prediction ◽  
And Topology ◽  
Grammar Rules ◽  
Model Set ◽  
Function Structures

AbstractBenchmarking function modeling and representation approaches requires a direct comparison, including the inferencing support by the different approaches. To this end, this paper explores the value of a representation by comparing the ability of a representation to support reasoning based on varying amounts of information stored in the representational components of a function structure: vocabulary, grammar, and topology. This is done by classifying the previously developed functional pruning rules into vocabulary, grammatical, and topological classes and applying them to function structures available from an external design repository. The original and pruned function structures of electromechanical devices are then evaluated for how accurately market values can be predicted using the graph complexity connectivity method. The accuracy is found to be inversely related to the amount of information and level of detail. Applying the topological rule does not significantly impact the predictive power of the models, while applying the vocabulary rules and the grammar rules reduces the accuracy of the predictions. Finally, the least predictive model set is that which had all rules applied. In this manner, the value of a representation to predict or answer questions is quantified.

Impact of Level of Detail and Information Content on Accuracy of Function Structure-Based Market Price Prediction Models

2016 ◽  
Author(s):  
Amaninder Singh Gill ◽  
Joshua D. Summers ◽  
Cameron J. Turner
Keyword(s):  
Prediction Models ◽  
Market Price ◽  
Level Of Detail ◽  
Research Approach ◽  
Function Structure ◽  
Amount Of Information ◽  
Market Values ◽  
Grammar Rules ◽  
Model Set ◽  
Function Structures

This paper explores the amount of information stored in the representational components of a function structure: vocabulary, grammar, and topology. This is done by classifying the previously developed functional composition rules into vocabulary, grammatical, and topological classes and applying them to function structures available in an external design repository. The pruned function structures of electromechanical devices are then evaluated for how accurately market values can be predicted using graph complexity connectivity method. The accuracy is inversely with amount of information and level of detail. Applying the topological rule does not significantly impact the predictive power of the models, while applying the vocabulary rules and the grammar rules reduce the accuracy of the predictions. Finally, the least predictive model set is that which had all rules applied. In this manner, the value of a representation to predict or answer questions is quantified through this research approach.

Human lung cancer explants model: Set up of a predictive model for treatment

2019 ◽  
Vol 110 ◽  
pp. S28
Author(s):  
B.M.A. Lenoir ◽  
D.S. Ferber ◽  
F. Eichhorn ◽  
M. Eichhorn ◽  
I. Zörnig ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Predictive Model ◽  
Human Lung ◽  
Human Lung Cancer ◽  
Model Set ◽  
Set Up

scholarly journals Optimization of Artificial Neural Network for Stock Market Price Prediction Using an Enhanced Firefly Algorithm

2019 ◽  
Vol 13 (9) ◽  
pp. 532-543
Author(s):  
Ameen Ahmed Oloduowo ◽  
Fashoto Stephen Gbenga ◽  
Ogeh Clement ◽  
Balogun Abdullateef ◽  
Mashwama Petros
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Stock Market ◽  
Firefly Algorithm ◽  
Market Price ◽  
Price Prediction ◽  
Artificial Neural

scholarly journals Association between Accounting Numbers and Value of Food and Beverages Firms in Nigeria

2015 ◽  
Vol 7 (12) ◽  
pp. 245
Author(s):  
Nyor Terzungwe ◽  
Nasiru Rabiu
Keyword(s):  
Value Relevance ◽  
Stock Exchange ◽  
Investment Decision ◽  
Market Price ◽  
Accounting Information ◽  
Financial Statements ◽  
Annual Reports ◽  
Market Values ◽  
Food And Beverages ◽  
Accounting Numbers

<p>The degree of statistical relationship between the contents of financial statements and market price of equity is what is termed Value relevance of accounting information. It explains stock market measures using financial information variables and it is a very useful guide to investors in pricing of shares. This study examines the extent of association between accounting information variables of earnings, dividend and book value of equity and market value of listed Food and Beverages firms in Nigeria. Data were collected from the published annual reports of the sampled firms and their market values obtained from the official daily list of the Nigerian Stock Exchange (NSE) over a period of 10 years (2001-2010). Using multivariate regression as technique for data analysis, the study established that accounting information of Food &amp; Beverages companies in Nigeria is value relevant. Accordingly, the study recommends the use of financial statements figures of Food and Beverages firms for investment decision.</p>

scholarly journals Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
SeHee Jung ◽  
SungMin Yang ◽  
Eunseok Lee ◽  
YongHak Lee ◽  
Jisun Ko ◽  
...  
Keyword(s):  
Public Health ◽  
Predictive Model ◽  
Present Method ◽  
Predictive Power ◽  
Digital Images ◽  
Life Quality ◽  
Image Sequences ◽  
Particulate Matters ◽  
High Quality ◽  
Temporal Effects

Particulate matters (PM) have become one of the important pollutants that deteriorate public health. Since PM is ubiquitous in the atmosphere, it is closely related to life quality in many different ways. Thus, a system to accurately monitor PM in diverse environments is imperative. Previous studies using digital images have relied on individual atmospheric images, not benefiting from both spatial and temporal effects of image sequences. This weakness led to undermining predictive power. To address this drawback, we propose a predictive model using the deep dehazing cascaded CNN and temporal priors. The temporal prior accommodates instantaneous visual moves and estimates PM concentration from residuals between the original and dehazed images. The present method also provides, as by-product, high-quality dehazed image sequences superior to the nontemporal methods. The improvements are supported by various experiments under a range of simulation scenarios and assessments using standard metrics.

A study on the grammatical construction of function structures

2005 ◽  
Vol 19 (3) ◽  
pp. 139-160 ◽  
Author(s):  
PRASANNA SRIDHARAN ◽  
MATTHEW I. CAMPBELL
Keyword(s):  
Automated Reasoning ◽  
Black Box ◽  
Graph Grammar ◽  
Functional Information ◽  
Customer Requirements ◽  
Conceptual Engineering ◽  
Grammatical Construction ◽  
Grammar Rules ◽  
Interactive User ◽  
Function Structures

Function structures are used during conceptual engineering design to transform the customer requirements into specific functional tasks. Although they are usually constructed from a well-understood black-box description of an artifact, there is no clear approach or formal set of rules that guide the creation of function structures. To remedy the unclear formation of such structures and to provide the potential for automated reasoning of such structures, a graph grammar is developed and implemented. The grammar can be used by a designer to explore various solutions to a conceptual design problem. Furthermore, the grammar aids in disseminating engineering functional information and in teaching the function structure concept to untrained engineers. Thirty products are examined as a basis for developing the grammar rules, and the rules are implemented in an interactive user environment. Experiments with student engineers and with the automated creation of function structures validate the effectiveness of the grammar rules.

What does hunting market price reflect? The role of species, landscape and management

2015 ◽  
Vol 42 (3) ◽  
pp. 280 ◽  
Author(s):  
M. Martinez-Jauregui ◽  
A. C. Herruzo ◽  
P. Campos
Keyword(s):  
Market Price ◽  
Hedonic Price ◽  
Age Classes ◽  
Mixed Effect ◽  
Small Game ◽  
Market Values ◽  
Hedonic Price Analysis ◽  
Hunting Bag ◽  
Game Hunting ◽  
Joint Consideration

Context Hunting transactions can be considered a composite good that includes various attributes or characteristics. Obtaining information regarding the utility derived from the different characteristics of the hunter’s bag might help elucidate the purchasing behaviour of hunters. This behaviour is, in turn, an important aspect to be considered by land managers in adaptive hunting management. Aims The present study attempts to identify the values given by hunters to species, landscape and management in the pricing of the hunter’s bag. Our analysis is focused on the hunting bag characteristics and adds to previous research the joint consideration of the amount and quality (sex, age classes and trophy) of various species in the hunter’s bag. Methods We use a dataset of 740 forest hunting estates at Andalucía (1 162 405 ha in the south of Spain) with an important mixed-species bag composition and where 225 game-hunting marketed transactions were declared by the hunting managers, including 13 541 hunting journeys. Hedonic-price analysis and mixed-effect models are used. Key results Our results showed that the composition of the harvested species (quantity and trophy of different species, sex and age classes), the activities related to harvesting and organisation of hunting events and landscape in hunting areas are relevant attributes in big-game market transactions. In small-game market transactions, species and landscape are the primary significant variables found. The latter variable plays a more important role in small game than in big game. Conclusions These findings indicated that hunting market values include, in addition to hunters’ recreational experience, ecological and management aspects with a broader social scope. Implications A further discussion regarding the possible conflict among hunter preferences, long-term game-management decisions and ecological goals is also provided.

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