How Long to Read Bankruptcy Prediction through Soft Computing based Deep Learning Technique

How Long Does it Take to Read Bankruptcy Prediction through Soft Computing based Deep Learning Technique?

It takes the average reader 1 hour and 42 minutes to read Bankruptcy Prediction through Soft Computing based Deep Learning Technique by Arindam Chaudhuri

Assuming a reading speed of 250 words per minute. Learn more

Description

This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models. The HDA are formed through fuzzy rough tensor deep staking networks (FRTDSN) with structured, hierarchical rough Bayesian (HRB) models. FRTDSN is formalized through TDSN and fuzzy rough sets, and HRB is formed by incorporating probabilistic rough sets in structured hierarchical Bayesian model. Then FRTDSN is integrated with HRB to form the compound FRTDSN-HRB model. HRB enhances the prediction accuracy of FRTDSN-HRB model. The experimental datasets are adopted from Korean construction companies and American and European non-financial companies, and the research presented focuses on the impact of choice of cut-off points, sampling procedures and business cycle on the accuracy of bankruptcy prediction models. The book also highlights the fact that misclassification can result in erroneous predictions leading to prohibitive costs to investors and the economy, and shows that choice of cut-off point and sampling procedures affect rankings of various models. It also suggests that empirical cut-off points estimated from training samples result in the lowest misclassification costs for all the models. The book confirms that FRTDSN-HRB achieves superior performance compared to other statistical and soft-computing models. The experimental results are given in terms of several important statistical parameters revolving different business cycles and sub-cycles for the datasets considered and are of immense benefit to researchers working in this area.

How long is Bankruptcy Prediction through Soft Computing based Deep Learning Technique?

Bankruptcy Prediction through Soft Computing based Deep Learning Technique by Arindam Chaudhuri is 102 pages long, and a total of 25,704 words.

This makes it 34% the length of the average book. It also has 31% more words than the average book.

How Long Does it Take to Read Bankruptcy Prediction through Soft Computing based Deep Learning Technique Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 20 minutes to read Bankruptcy Prediction through Soft Computing based Deep Learning Technique aloud.

What Reading Level is Bankruptcy Prediction through Soft Computing based Deep Learning Technique?

Bankruptcy Prediction through Soft Computing based Deep Learning Technique is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Bankruptcy Prediction through Soft Computing based Deep Learning Technique?

Bankruptcy Prediction through Soft Computing based Deep Learning Technique by Arindam Chaudhuri is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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