nnfunctions.txt

NN Functions a program in Lisp to demonstrate working of an artificial neuron. (Enter an input vect

/*Aim:- Write a program in Lisp to demonstrate working of an artificial neuron. (Enter an input vector X and weight vector W. Calculate weighted sum XW. Transform this using signal or activation functions like logistic, threshold, hyperbolic-tangent, linear, exponential, sigmoid or some other functions (syntax provided) and display the output). */

(defun nnFunctions (actSignList wghtList c n)
(setq wghtSum 0)
(setq resFunc 0)
	(loop
		(when (equal (first actSignList) nil) (return))
		(setq wghtSum (+ wghtSum (* (first actSignList) (first wghtList))))
		(print wghtSum )
		(setq actSignList (rest actSignList))
		(setq wghtList (rest  wghtList))
	)

	(print "Logistical Signal Function")
	(print (/ 1 (+ 1 (exp (- 0 (* c wghtSum))))))

	(print "Hyperbolic tangent Signal Function")
	(print (tan (* 10 wghtSum)))
	
	(print "Threshold Linear Signal Function")
		(if (<= 1 (* c wghtSum)) (print 1) (print 0))
	
	(print "Linear Signal Function")
	(print (* c wghtSum))

	(print "Threshold Exponential Signal Function")
	(print (min 1 (exp (* c wghtSum))))

	(print "Threshold Distribution Signal Function")
	(print (max 0 (- 1 (exp (- 0 (* c wghtSum))))))

	(print "Ratio Polynomial Signal Function")
	(print (max 0 (/ (expt wghtSum n) (+ c (expt wghtSum n)))))
)