Page 96 - Anatomy of a Robot
P. 96

03_200256_CH03/Bergren  4/17/03  12:27 PM  Page 81
                                                     1.0
                                                1.0
                                           1.0  Sensory Inputs  1.0   1.0 0.8   COMPUTER HARDWARE 81
                                                           1.0
                                                           0.8
                                           0.8  0.8  0.8        0.8
                                           0.6  0.6  0.6   0.6  0.6   0.6
                                           0.4  0.4  0.4   0.4  0.4   0.4
                                           0.2  0.2  0.2   0.2  0.2   0.2
                                                                           Neuron
                                           1.0  1.0   1.0  1.0  1.0   1.0  Layers
                                           0.8  0.8   0.8  0.8  0.8   0.8
                                           0.6  0.6   0.6  0.6  0.6   0.6
                                                0.4        0.4        0.4
                                           0.4        0.4       0.4
                                           0.2  0.2   0.2  0.2  0.2   0.2
                                           1.0  1.0  1.0   1.0  1.0   1.0
                                                0.8        0.8        0.8
                                           0.8       0.8        0.8
                                           0.6  0.6  0.6   0.6  0.6   0.6
                                                0.4        0.4        0.4
                                           0.4       0.4        0.4
                                           0.2  0.2  0.2   0.2  0.2   0.2
                                                           1.0        1.0
                                           1.0  1.0   1.0       1.0
                                           0.8  0.8   0.8  0.8  0.8   0.8
                                           0.6  0.6   0.6  0.6  0.6   0.6
                                           0.4  0.4   0.4  0.4  0.4   0.4
                                           0.2  0.2   0.2  0.2  0.2   0.2
                                                Output Results
                                             Judgement Score
                            FIGURE 3-4 One model of a neural network computer
                            software in systems that must develop “judgment.” One application has been the pre-
                            diction of credit card fraud. By exposing the neural network software to many credit card
                            applications and then telling the network which customers defaulted later, the network
                            is trained to scan new applications and reject those customers who might default later.
                              Here are some URLs for further study about neural networks:
                                www.emsl.pnl.gov:2080/proj/neuron/neural/what.html
                                http://vv.carleton.ca/ neil/neural/neuron.html
                                www.cs.stir.ac.uk/ lss/NNIntro/InvSlides.html
                                http://hem.hj.se/ de96klda/NeuralNetworks.htm



                            Special-Purpose Processors
                            The primary advantage of a computer is its blinding speed. It can execute many millions
                            of instructions every second. But some tasks require the processing of truly massive
                            amounts of information. These applications require the addition of even higher speed
                            hardware to process the information. Such high-speed hardware is specifically designed
                            to process the information at hand, but it can perform no other function. The high-speed
   91   92   93   94   95   96   97   98   99   100   101