McGraw-Hill, 1991 - 621 páginas
The breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.
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The weights connected to the output units can be adjusted in order to reduce
those errors. We can then use the error estimates of the output units to derive
error estimates for the units in the hidden layers. Finally, errors are propagated
back to ...
Produce: A set of weights such that the output units become active according to
some natural division of the inputs. 1 . Present an input ... Calculate the initial
activation for each output unit by computing a weighted sum of its inputs.10 3. Let
State Units Output Units of muscles), but we need more than a single output
vector. We need a series of output vectors: first move the muscles this way, then
this way, then this way, etc. Jordan  has invented a network that can do ...
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very poor book for novice.Assumes u already know AI and the language is not at all user friendly.One has to read a sentence repeatedly to get a grasp and some times even then u don't understand.Go for other books much better than this
not soo good to go for novice
What Is Artificial Intelligence?
Problems Problem Spaces and Search
Heuristic Search Techniques
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