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 perceptron, an invention of Rosenblatt , was one of the earliest neural
network models. A perceptron models a neuron by taking a weighted sum of its
inputs and sending the output 1 if the sum is greater than some adjustable ...
Figure 18.7: A Perceptron with Many Inputs and Many Outputs is this: Whatever a
perceptron can compute, it can learn to compute! We demonstrate this in a
moment. At the time perceptrons were invented, many people speculated that ...
Create a perceptron with n + 1 inputs and n + 1 weights, where the extra input .vo
is always set to 1 . 2. Initialize the weights (wU, w\, . . . , w„) to random real values.
3. Iterate through the training set, collecting all examples misclassifiedby the ...
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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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