Boolean Neural Networks

Behind the screens: Clinical decision support methodologies – A review

“…An ANN is a mathematical model which simulates the learning process of the human brain using a network of interconnected layers of artificial neurons to classify and find patterns in data 20 . As shown in Figure 2, a neural network usually takes some inputs and produces one or more outputs by employing an incremental learning algorithm to compute and modify the strength of the connections between the input, output and hidden layers of the network, where the hidden layers learn the patterns in the data.…”

On The Implementation Of A Transient Model For An Intelligent Target Motion Analysis System

“…The first method that will be tested on the original error function as state estimator directly will be a Genetic Algorithm (Goldberg 1989). A second approach will be to use Artificial Neural Networks (Picton 2000) to predict the target state based on previously trained examples. Both approaches will be evaluated, based on experimental results, and compared with standard TMA methods.…”

“…In order to be able to test Computational Intelligence methods, like Genetic Algorithms (Goldberg 1989) or Artificial Neural Networks (Picton 2000), to the TMA problem and to compare their effectiveness with traditional statistical methods, a simulation of the transient model for the time delays and their measurement errors was developed and implemented in an object oriented way in C++.…”

Numerical Solution of Sixth-Order Differential Equations Arising in Astrophysics by Neural Network

“…Neural networks mimic the learning process of the human brain in order to extract patterns from historical data [1]. For a great number of years this new type of expertise has been successfully employed to a variety of real-world problems [2]. The first introduction of perceptrons was proposed by Rosenblatt [3].…”