Start Discovering Solved Questions and Your Course Assignments
TextBooks Included
Solved Assignments
Asked Questions
Answered Questions
composition of fetthe fet field-effect transistor can be constructed from several semiconductors silicon being by far the most common several fets
operation of zener diodethe zener diodes operation depends upon the heavy doping of its p-n junction permitting electrons to tunnel from the valence
zener diodea zener diode is a sort of diode that allows current not only in the forward direction such as a normal diode but as well in the reverse
diffusion capacitancediffusion capacitance is the capacitance because of transport of charge carriers among the two terminals of a device for
depletion zone in p-n junctionthe power of the depletion zone electric field gets increases as the reverse-bias voltage increases one time the
properties of a p-n junctionthe p-n junction possesses several interesting properties that have helpful applications in modern electronics a p-doped
avoiding overfitting however remember there that in the previous lecture there is over fitting that common problem in machine learning furthermore
appropriate problems for decision tree learning however remember there that is a skilled job in ai to choose exactly the right learning
biological motivation however remember there that in discussion first lecture is about how people have answered the question like how are we going to
two layer artificial neural networkshowever decision trees are whenever powerful they are as a simple representation scheme whereas graphical on the
multi-layer network architecturesas we considered we saw in the previous lecture that perceptrons have limited scope in the type of concepts that
multi-layer artificial neural networks however we can now look at more sophisticated anns that are known as multi-layer artificial neural networks it
algorithmic complexity theorymoreover a similar situation occurs in broad to specific ilp systems when the inference rules are deductive thus they
pruning and sortingthis means we can test where each hypothesis explains as entails a common example that we can associate to a hypothesis a set of
problem specification hence given the above context for ilp there we can state the learning problem as follows that we are given a set of positive
prior conditions - logic programshowever firstly there we must make sure that our problem has a solution whether one of the negative examples can be
background examples and hypothesisnow we will switch off with three logic programs so very firstly we will have the logic program representing a set
logic programsa subset of first order logic is logic programs however logic program having a set of horn clauses that are implication conjectures
problem context and specification however the development of inductive logic programming has been heavily formal in mathematical in nature it means
inductive logic programming now here having studied a non-symbolic approach to machine learning on artificial neural networks then we return to a
meritsthe circuit has the trend to stabilize operating point against changes in temperature and beta-valuedemeritsin this type of circuit to keep
merits and demerits of collector-to-base biasmeritsin this type of circuit the circuit stabilizes the operating point against differences in
usagebecause of the above inherent drawbacks fixed bias is seldom used in linear circuits that is those circuits which use the transistor like a
merits1 it is very simple to shift the operating point anywhere in the active region by just changing the base resistor
types of bias circuit for class a amplifiersthere are five common types of biasing circuits used with class a bipolar transistor amplifiersa fixed