Page 217 - Concise Encyclopedia of Robotics
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The illustration is a flowchart that shows a simple example of nesting.
                            Squares indicate procedural steps, such as “Multiply by 3 and then add 2.”
                            Diamonds are IF/THEN/ELSE steps, which are crucial to any loop. The
                            question marks inside the diamonds indicate that a yes/no choice must
                            be made, such as “Is x greater than 587?”The minus sign ( ) is like a “No”
                            to the question, in which case the process must go back to some earlier
                            point. The plus sign (+) is like a “Yes,” telling the process to go ahead.
                                                                      Output
                             Input                                  Neutral Network
                                                    _             _
                                                   ?             ?
                                                      +             +
                            Nested loops
                              Nested loops are common in computer programs,especially when there
                            are complicated mathematical calculations. Nesting of thought loops in
                            the  human  mind  probably  also  takes  place. Any  attempt  at  mapping
                            human thought processes reveals fantastic, myriad twists and turns. Any
                            attempt at modeling human thought requires the use of nested loops.
                            This is a consideration in artificial intelligence (AI) research.
                              See also IF/THEN/ELSE.
                         NEURAL NETWORK
                            The term neural network refers to any of several forms of alternative com-
                            puter technology. The basic idea behind all neural networks is to mimic
                            the workings of the human brain.
                            Assets
                            Compared with digital computers, neural networks are fast. They can
                            reach conclusions more rapidly than digital machines.
                              Neural networks are good at tasks such as object recognition and speech
                            recognition. Neural networks can take small bits of information about an
                            object, sound, or  other  complex  thing, and  fill  in  the  gaps  to  get  the
                            whole. This was vividly demonstrated when an early version of a neural
                            network took an incomplete (20 percent) radar image of a jet plane and,
                            on the basis of that data,produced a complete graphic of the type of aircraft
                            that caused the echoes.
                              Neural networks can learn from their mistakes, improving their per-
                            formance after repeating a task many times. They also exhibit graceful




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