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This example subtracts the value of the bills variable (800) from the mymoney variable and assigns the result to mymoney In the end, mymoney has a value of 200 Since this is so similar to the add-and-assign operator, let s move on to the next one (which is also very similar)

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The Multiply-and-Assign Operator (*=)

FIND-Sconverges in the limit to a hypothesis that makes no errors, provided C H and provided the training data is noise-free FIND-Sbegins with the most specific hypothesis (which classifies every instance a negative example), then incrementally generalizes this hypothesis as needed to cover observed positive training examples For the hypothesis representation used here, this generalization step consists of deleting unsatisfied literals Can we prove a bound on the total number of mistakes that FIND-Swill make before exactly learning the target concept c The answer is yes To see this, note can first that if c E H, then FIND-S never mistakenly classify a negative example as positive The reason is that its current hypothesis h is always at least as specific as the target concept e Therefore, to calculate the number of mistakes it will make, we need only count the number of mistakes it will make misclassifying truly positive examples as negative How many such mistakes can occur before FIND-S learns c exactly Consider the first positive example encountered by FIND-SThe learner will certainly make a mistake classifying this example, because its initial hypothesis labels every instance negative However, the result will be that half of the 2n terms in its initial hypothesis will be eliminated, leaving only n terms For each subsequent positive example that is mistakenly classified by the current hypothesis, at least one more of the remaining n terms must be eliminated from the hypothesis Therefore, the total number of mistakes can be at most n 1 This number of mistakes will be required in the worst case, corresponding to learning the most general possible target concept (Vx)c(x) = 1 and corresponding to a worst case sequence of instances that removes only one literal per mistake

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var mymoney=1000; var multby=2; mymoney*=multby;

A prototypical example of ANN learning is provided by Pomerleau's (1993) system ALVINN, which uses a learned ANN to steer an autonomous vehicle driving

The *= operator multiples the value on the right side of the operator by the variable on the left side The result is then assigned to the variable The next example shows this operator at work:

LAN wiring, in the form of copper and fiber-optic cabling, continues to play an extremely vital role in digital communication It is critical to our voice and data communications infrastructure Yet, this standardized cabling is the Mark Twain of communications: The reports of [its] death are greatly exaggerated! For over a decade, the demise first of copper cabling and ultimately of all wired technologies has been trumpeted by pundits and prognosticators We have heard, copper cannot support gigabit data rates and fiber has limited bandwidth, limited distance, is too expensive More recently, it was pronounced, 10 gigabit will never run over copper Now, many quarters have declared, wiring is dead, wireless is the future In spite of all this, physical cabling still rules the seas of communications Copper not only supports Gigabit Ethernet, but indeed now supports 10 Gigabit Ethernet Fiber surprised everyone, first by carrying Gigabit Ethernet to 70 km, and then by supporting multiple wavelength multiplexing This dense wave-division multiplexing has multiplied the effective bandwidth of single-mode fiber by 100 times or more Copper cabling has advanced the state-of-the-art for balanced-pair transmission, and has added twist-geometry stability, extended-bandwidth connectors, and now pair shielding to raise the bandwidth into the near-microwave region Fiberoptic cabling has evolved new connector types, new extended wavelength cores, and optical multiplexing techniques to reduce costs and simplify assembly, to expand bandwidth and distances, and to multiply services per fiber link Copper and fiber-optic wiring have overcome every hurdle put before them but one The final frontier is certainly the threat of wireless To some, wireless is the answer to everything To borrow a concept from Stephen W Hawking, some people think that wireless is The Theory of Everything It solves all problems It cures all ills It costs virtually nothing, and it is of infinite capacity It must be very cool Unfortunately, as with older theories of the universe, wireless must bow to the laws of physics, quantum mechanics notwithstanding There simply is no such thing.

Here, the variable mymoney is multiplied by the value of the multby variable, which is 2 The result of 2000 is then assigned to the variable mymoney

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The Divide-and-Assign Operator (/=)

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var mymoney=1000; var cutpayby=2; mymoney/=cutpayby;

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