The recursive deterministic perceptron neural network

The Recursive Deterministic Perceptron (RDP) feed-forward multilayer neural network is a generalisation of the single layer perceptron topology. This model is capable of solving any two-class classification problem as opposed to the single layer ...

A boosting-based method of learning a feed-forward artificial neural network (ANN) with a single layer of hidden neurons and a single output neuron is presented. Initially, an algorithm called Boostron is described that learns a single-layer perceptron ...

Addition is the most commonly used arithmetic operation and is the speed-limiting element in the core of arithmetic logic unit (ALU) in a microprocessor. Perceptron of feedforward neural networks, inspired by the threshold logic unit neuron model of ...