artificial multilayer neural networks
Accelerated optimizations of an electromagnetic acoustic transducer with artificial neural networks as metamodels
... the artificial neural networks as the meta- models of an omnidirectional EMAT, including the multilayer feedforward networks trained with the basic and improved back propagation ...
16
Introduction to the Artificial Neural Networks
... chosen artificial neural ...learned artificial neural network with the test (validation) data ...to artificial neural network while ...
16
Optimizing the Multilayer Feed Forward Artificial Neural Networks Architecture and Training Parameters using Genetic Algorithm
... feed-forward neural network model for fault detection NN of a deep-trough hydroponic system and a predictive modeling NN system of a similar hydroponic system has also been ...
7
A Study on Effective Algorithm for Medical Decision Making System
... the neural diagnostic system. Then, paradigm of artificial neural networks is shortly introduced and the main problems of medical data base and the basic approaches for training and testing a ...
9
APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED
... Different models with the varying hidden neurons of both single and double hidden layers have been trained and tested with MLPNN to select the optimal architecture of the network. All together 20 models i.e. MLP1 to MLP ...
14
Short term load forecasting based on hybrid artificial neural networks and particle swarm optimisation
... Various combination approaches incorporating Fuzzy Logic and other CI approaches have also been developed as described previously. These are commonly known as hybrid techniques. Yuill et al. [31] discusses one such a ...
97
Gait Recognition Using Deep Learning
... Neural networks are predictive models loosely based on the action of biological ...name, neural networks are far from “thinking machines” or “artificial ...artifical neural ...
5
Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks
... of artificial neural networks, multilayer perceptron (MLP) and self-organizing feature map (SOM) were used to detect mastitis by automatic milking systems (AMS) using a new mastitis indicator ...
8
Representing intelligent decision making in discrete event simulation : a stochastic neural network approach
... [Keywords: Discrete Event Simulation, Neural Networks, Multilayer Perceptron, Artificial Intelligence, Behaviour, Decision Making, Intelligent Agents, Stochastic Processes]... Discrete e[r] ...
490
Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution
... methods: artificial neural networks, random forest, and an approach was proposed in which a multilayer perceptron, a random perceptron forest, was used as a classifier ...surpassed ...
8
Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... the neural network refers to a network of biological neurons. Artificial neural network (ANN) is the mimicking of the human neuron on a ...a multilayer network made up of input layer neurons, ...
8
A Neural Network Method Based on Mittag-Leffler Function for Solving a Class of Fractional Optimal Control Problems
... and artificial neural networks that so far has not been utilized for the FOCPs ...the neural network structure, we can prove the stability and convergence of the method similar to one in ...
8
Attempting to Mimic the Brain Synthetically
... definition, artificial intelligence can be thought of as robots and machines that have their own independent level of ...of artificial intelligence, that has been mainly unsuccessful so far, has been ...
5
Deep Learning For Anticipation Of Cardiovascular Disease: A Practical Approach
... Recurrent Neural Network (RNN) [12] to revise the memorization of standard feed forward neural network, which extends standard feed forward by adding internal ...
6
Prediction of Compressive Strength of Concrete using Artificial Neural Network
... propagation and Jordan Elman back propagation algorithms are used to adjust the connection weights and bias values training. The network parameters tested in the proposed model included the following: training data = ...
16
Prediction of Stock Prices Using Artificial N...
... An artificial neural network is a “computing architecture comprising of simple processing elements, neurons, that work in parallel and connect with each other by sending signals (Krawiec and Stefano ski, ...
6
Type of Tomato Classification Using Deep Learning
... Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain ...
5
Cotton genotypes selection through artificial neural networks.
... The artificial neural networks presented a high capacity of correct classification of the 20 selected genotypes based on the fiber quality index, so that when using fiber length associated with the ...
9
On the application and design of artificial neural networks for motor fault detection. II.
... P of the use of artificial neural networks in motor fault detection applications. In Part I1 of this paper, we will discuss how to design an artificial neural network for[r] ...
8
Correlation analysis and prediction of personality traits using graphic data collections
... The purpose of the study is to train neural networks to predict the personality traits of Internet users, using images from the “profiles” of these users in “VKontakte” social network. The created software ...
7