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where wkj,p (t) and vji,p (t) are weight changes for individual patterns p, and PT is the total number of patterns in the training set Stochastic learning is summarized in Algorithm 31 Algorithm 31 Stochastic Gradient Descent Learning Algorithm Initialize weights, , , and the number of epochs t = 0; while stopping condition(s) not true do Let ET = 0; for each training pattern p do Do the feedforward phase to calculate yj,p ( j = 1, , J) and ok,p ( k = 1, , K); Compute output error signals ok,p and hidden layer error signals yj,p ; Adjust weights wkj and vji (backpropagation of errors); ET + = [Ep = K (tk,p ok,p )2 ]; k=1 end t = t + 1; end

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If an employee is traveling amongst multiple locations as part of his or her job, such as is experienced by a traveling salesperson, then this travel time is paid time However, the amount of paid time only corresponds to those hours during which an employee works during a regular working day

Stopping criteria usually includes: Stop when a maximum number of epochs has been exceeded Stop when the mean squared error (MSE) on the training set, ET =

through Friday However, a special project requires him to stay at an off-site location and travel home on Saturday, which occupies him from 7 am to noon Of the five hours spent traveling on Saturday, the hours in the time period from 8 am to noon can be claimed for wage reimbursement, since they fall within his regularly scheduled work day

ok,p )2

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How might the data strategy map appear It most surely would include a comprehensive enterprise data model depicting the entities and attributes of all the data needed to manage and optimize performance in the enterprise It most surely would include process models describing how work gets done that are attributed with data inputs and outputs, controls, and mechanisms It might even depict data ow, and who uses it As you might imagine, a data strategy map would be complex, stored in a computer, supported by software, and served up for executives, users, and technologists to analyze and to act upon Data is the atomic matter behind government and commercial enterprise performance It is the essential grist for the mill, although this metaphor stops far short of complex meaning Some people ask Is not your book just as valuable to commercial enterprise as it is to government enterprise The short answer is yes Others ask, What is the relevance of government to commercial enterprise A longer reply is needed for this question Although current history certainly illustrates the close relationship, albeit too close for some A prevailing notion for the past 12 years is that best commercial practices and technologies are best for government While there is merit to this idea, application is not always direct and universal We observe that government is in a perpetual catch-up situation, lagging commercial enterprise by 4 to 20 years There are structural, bureaucratic, political, economic, and cultural reasons for the lag, and we are certain that commentators like CNN s Lou Dobbs will nd no good excuses Our approach aims at cutting through excuses It also introduces another set of views about the relationship between commercial enterprise and government Global asymmetrical threats to national security demand that the US government performs with superiority in the comprehensive realm of enterprise management that is enabled by superior technology Since the government is in the lead of enterprise management, the institution cannot afford to wait for commercial enterprise or to wait to catch up it must lead in the role of ultimate customer representing citizens Note that this would be a strategic policy shift to demand that government not default to commercial industry in pursuit of technology leadership Commercial enterprises that support the government as prime contractors are often not servicing commercial customers They are locked into servicing government and therefore are not in the position to be the sources of best commercial practices (There is a much larger question related to the military industrial complex, although that is out of scope) Business algorithms for commercial enterprise are often the antithesis of business algorithms for government enterprise Therefore one-to-one applicability must be challenged The common thread among government and private enterprise is data There is a pecking order in this book Government executives, called department secretaries, are the equivalent of CEOs Commercial executives in this book are considered in the context that their organizations are participants in the governmentled enterprise as prime contractors, subcontractors, and suppliers They are stewards.

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