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  2. Multilayer perceptron - Wikipedia

    en.wikipedia.org/wiki/Multilayer_perceptron

    If a multilayer perceptron has a linear activation function in all neurons, that is, a linear function that maps the weighted inputs to the output of each neuron, then linear algebra shows that any number of layers can be reduced to a two-layer input-output model.

  3. Mark I Perceptron - Wikipedia

    en.wikipedia.org/wiki/Mark_I_Perceptron

    The Mark I Perceptron was organized into three layers: [2] A set of sensory units which receive optical input; A set of association units, each of which fire based on input from multiple sensory units; A set of response units, which fire based on input from multiple association units; The connection between sensory units and association units ...

  4. Managerial grid model - Wikipedia

    en.wikipedia.org/wiki/Managerial_grid_model

    The managerial grid model or managerial grid theory (1964) is a model, developed by Robert R. Blake and Jane Mouton, of leadership styles. [1] This model originally identified five different leadership styles based on the concern for people and the concern for production. The optimal leadership style in this model is based on Theory Y. The grid ...

  5. Neuroleadership - Wikipedia

    en.wikipedia.org/wiki/Neuroleadership

    Neuroleadership refers to the application of findings from neuroscience to the field of leadership. [1] [2] The first time the concept of neuroleadership was mentioned was in 2005 in a Harvard University publication entitled Harvard Business Review. One year later, the theories and principles of this new tool were collated by David Rock and ...

  6. Perceptron - Wikipedia

    en.wikipedia.org/wiki/Perceptron

    Below is an example of a learning algorithm for a single-layer perceptron with a single output unit. For a single-layer perceptron with multiple output units, since the weights of one output unit are completely separate from all the others', the same algorithm can be run for each output unit.

  7. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    HTM is a biomimetic model based on memory-prediction theory. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world. HTM combines existing ideas to mimic the neocortex with a simple design that provides many capabilities.

  8. Three levels of leadership model - Wikipedia

    en.wikipedia.org/wiki/Three_levels_of_leadership...

    The Three Levels of Leadership model attempts to combine the strengths of older leadership theories (i.e. traits, behavioral/styles, situational, functional) while addressing their limitations and, at the same time, offering a foundation for leaders wanting to apply the philosophies of servant leadership and "authentic leadership". [2]

  9. Feedforward neural network - Wikipedia

    en.wikipedia.org/wiki/Feedforward_neural_network

    A multilayer perceptron (MLP) is a misnomer for a modern feedforward artificial neural network, consisting of fully connected neurons (hence the synonym sometimes used of fully connected network (FCN)), often with a nonlinear kind of activation function, organized in at least three layers, notable for being able to distinguish data that is not ...