Scientific Research Publishing

Nosratabadi, S., Ardabili, S., Lakner, Z., Mako, C. and Mosavi, A. (2021) Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS ...

ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...
MIT Technology Review

The next generation of neural networks could live in hardware

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...
Scientific Research Publishing

Rosenblatt, F. (1958) The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65, 386-408.

ABSTRACT: The purpose of this study was to address the challenges in predicting and classifying accuracy in modeling Container Dwell Time (CDT) using Artificial Neural Networks (ANN). This objective ...
Frontiers

Construction of a risk prediction model for lung infection after chemotherapy in lung cancer patients based on the machine learning algorithm

1 Department of Hematology and Oncology Laboratory, The Central Hospital of Shaoyang, Shaoyang, Hunan, China 2 Department of Scientific Research, The First Affiliated Hospital of Shaoyang University, ...
IEEE

Detection of Brain Stroke by using the Novel Adaboost Classifier Algorithm Classifier Algorithm Compared with Multi-layer Perceptron

Abstract: Compare Novel Adaboost Classifier Algorithm and MultiLayer Perceptron to improve accuracy. Materials and Methods: Research groups include Novel Adaboost Classifier Algorithm and MultiLayer ...
GitHub

Interactive visualization of the simple perceptron training algorithm.

Runs the app in the development mode. Open http://localhost:3000 to view it in the browser. The page will reload if you make edits. You will also see any lint errors ...
C&EN

Target Fishing for Chemical Compounds Using Target-Ligand Activity Data and Ranking Based Methods

Department of Computer Science, University of Minnesota, Twin Cities, Minnesota 55455 * Corresponding author e-mail: [email protected]. Present address: Pfizer Global Research and Development, Pfizer ...