Rowan University, Purdue Global University, Texas Southern University Human Resources, Ibri College
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MIS665 Persepective analytics, Machine learning, Soft computing NN1 1
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1). What would happen if Artificial Neural Networks (ANN) did not have any bias (fixed input)? For instance, suppose that 'y' must be 5 when all inputs are 0. 2). What are the main similarities and differences between the functions 'logsig' and 'tanh'? 3). Indicate whether the next statements are true or false and explain: When the neutrons of an artificial neural network (ANN) use the LOGSIG function, the output values of the network cannot exceed a value of one no matter what input i...
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Rowan University, Purdue Global University, Texas Southern University Human Resources, Ibri College•MIS665 Persepective analytics, Machine learning, Soft computing
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Neural Networks • Simon Haykin• ISBN 9780139083853
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1). What would happen if Artificial Neural Networks (ANN) did not have any bias (fixed input)? For instance, suppose that 'y' must be 5 when all inputs are 0. 2). What are the main similarities and differences between the functions 'logsig' and 'tanh'? 3). Indicate whether the next statements are true or false and explain: When the neutrons of an artificial neural network (ANN) use the LOGSIG function, the output values of the network cannot exceed a value of one no matter what input i...