Polymorphism allows the addition of classes providing they were at least considered during program .development
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- implementalgorithm AdaptiveGreedy( set of objects ) pre-cond: The input consists of a set of objects. post-cond: The output consists of an optimal subset of them.Question5: Write a python program to train neural network to classify two clusters in a 2-dimensional space for implementing XOR, where the weight is -0.50 and x>-0.5. Also name the class by your namedescribes the FSM with a natural language, which is typical at the highlevel design phase of a software development process. Refine the FSM so that it iscloser to the implementation by incorporating a more formal handling of the sensoryevents sensor(l, f, r). Boolean variables l, f , and r indicate whether there is a wallon the neighbouring left, front, or right tile. Also introduce a simple local variableinterface for executing the actions ‘go forward’, ‘turn left 90◦’, and ‘turn right 90
- Suppose that class B is derived from class A. Then we can say: B "is a " A A "is a " B Not enough information to answer(A) Design in JFLAP a simulator of a deterministic finite automaton (DFA) that (only) recognizesthe language Λ, where Λ is the first letter of your family name. (B) Test the simulator for one accepting and one rejecting string.Language ABinary numbersExample: A = {00000000, 0101, 111111,A model of the field can show (check all that are correct): Please select at least one answer.a. operationsb. abstractionsc. methodsd. associationse. attributes
- The language must be in python. Just do numbers 5-7 Neural Network Units Implement a single sigmoid neural network unit with weights of [-1.2, -1.1, 3.3, -2.1] Calculate the outputs for two training examples:Example 1: [0.9, 10.0, 3.1, 1]Example 2: [0.9, 2.1, 3.7, 1] Note that you don't have to explicitly include a threshold or bias since the examples include a last element of 1 which means that the last weight effectively operates as a threshold. Assuming that a sigmoid unit response >0.5 denotes a positive class and <0.5 is negative class, is example 1 positive or negative? is example 2 positive or negative? Create a single ReLU unit and provide the outputs for those examples. Calculate the derivative of the sigmoid with respect to net input for both examples Calculate the derivative of the ReLU with respect to net input for both examplesDraw a deterministic finite state automaton that accepts a language of all the words ending with "lly". The alphabet is the set of all letters of the English alphabet. Instructions: Do not draw automata by hand. Find a software for drawing automata (you can try JFlap) and submit a pdf of the drawingDraw a state diagram of a Turing machine (TM) recognizing the fol-lowing language over the alphabet Σ = {0, 1, >}.L = {x > y : x, y ∈L(1(0∪1)∗) ∧bin(x) is a power of 2 ∧bin(x) > bin(y)},where bin(x) is the value of x viewed as a binary number.Note that besides edge labels like 0 → 1, R, we allow abbreviationslike 0 →R, standing for 0 →0, R,and 0, 1 →R, standing for 0 →0, R, 1 →1, R.