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  2. Delta College (Michigan) - Wikipedia

    en.wikipedia.org/wiki/Delta_College_(Michigan)

    Collectively, these stations are known as Delta College Public Media and they serve an audience of 1.2 million people in mid-Michigan. The college's student-run newspaper is the Delta Collegiate and has been published since the college opened in 1961. The newspaper prints a new issue every two weeks during the fall and winter semester.

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  5. WUCX-FM - Wikipedia

    en.wikipedia.org/wiki/WUCX-FM

    WUCX-FM, 90.1 FM in Bay City, Michigan, is a public radio station licensed to Central Michigan University and operated jointly with Delta College. It airs programming (both local and syndicated) separate from WCMU-FM between 5 a.m. and 3 p.m. on weekdays, from 6 a.m. until 6 p.m. on Saturdays, and from 6 a.m. until 12 p.m on Sundays. The ...

  6. Least mean squares filter - Wikipedia

    en.wikipedia.org/wiki/Least_mean_squares_filter

    This cost function (()) is the mean square error, and it is minimized by the LMS. This is where the LMS gets its name. Applying steepest descent means to take the partial derivatives with respect to the individual entries of the filter coefficient (weight) vector

  7. Delta rule - Wikipedia

    en.wikipedia.org/wiki/Delta_rule

    While the delta rule is similar to the perceptron's update rule, the derivation is different. The perceptron uses the Heaviside step function as the activation function g ( h ) {\displaystyle g(h)} , and that means that g ′ ( h ) {\displaystyle g'(h)} does not exist at zero, and is equal to zero elsewhere, which makes the direct application ...

  8. ADALINE - Wikipedia

    en.wikipedia.org/wiki/ADALINE

    The learning rule used by ADALINE is the LMS ("least mean squares") algorithm, a special case of gradient descent. Define the following notations: is the learning rate (some positive constant) is the output of the model; is the target (desired) output

  9. Learning rule - Wikipedia

    en.wikipedia.org/wiki/Learning_rule

    Learning rule. An artificial neural network 's learning rule or learning process is a method, mathematical logic or algorithm which improves the network's performance and/or training time. Usually, this rule is applied repeatedly over the network. It is done by updating the weights and bias levels of a network when a network is simulated in a ...