Concept explainers
Cohesion:
Cohesion shows the functional strength of any particular module. Module is a small part of any
Coupling:
Coupling shows the interaction between modules. It shows the interdependency and reliability of one module with the other. If any module significantly interacts with the other module, then it is said to be high coupling. This shows that the modules are highly interdependent.
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Chapter 7 Solutions
Computer Science: An Overview (13th Edition) (What's New in Computer Science)
- Define positive autocorrelation?arrow_forwardA robot moves into rooms R1 and R2 and switch the bulbs B1 and B2 on/off. The following are the action schema:1. goto(r, x1, x2) : robot r go to x2 from x12. switchON(s): switchON the bulb s3. switchOFF(s): switchOFF the bulb s 1. Write down preconditions and effects of the above actions. 2. Consider the following: (i) Initial state: < R1;R2;B1;B2 >: Robot is at Room R1 not in Room R2 and both bulbs are off.(ii) Goal state: < R2;B1;B2 >: Robot is at Room R2 and both bulbs are ON.Draw state space diagram for the above by drawing to all possible states.arrow_forwardNeurons compute? The activation function and the linear function, which is represented by the equation z = Wx + b, are both calculated by neurons. Both a linear function, represented by the equation z = Wx + b, and an activation function are computed by neurons. When g is present in a neuron, the input x is scaled linearly (Wx + b). Before using the result in an activation function, neurons perform a calculation to get the mean of all of their features.arrow_forward
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