5 results about "Function learning" patented technology

A learning function deals with individual weights and thresholds and decides how those would be manipulated. These usually (but not always) employ some form of gradient descent. Examples include simulated annealing, Silva and Almeida's algorithm, using momentum and adaptive learning-rates, and weight-learning (examples include Hebb,...