Results 261 to 270 of about 9,482,218 (334)

Productivity prediction of a multilateral-well geothermal system based on a long short-term memory and multi-layer perceptron combinational neural network

Applied Energy, 2021
Geothermal energy is one of renewable and clean energy resources. Predicting geothermal productivity is an essential task for managing a continuable geothermal system, which is a huge challenge due to the highly non-linear relationship between the ...
Guofeng Song, Yu Shi
exaly   +2 more sources

FPGA acceleration on a multi-layer perceptron neural network for digit recognition

The Journal of Supercomputing, 2021
This paper proposes field-programmable gate array (FPGA) acceleration on a scalable multi-layer perceptron (MLP) neural network for classifying handwritten digits. First, an investigation to the network architectures is conducted to find the optimal FPGA design corresponding to different classification rates.
Isaac Westby, Xiaokun Yang, Tao Liu, Hailu Xu   +3 more
semanticscholar   +3 more sources

Multi-NetDroid: Multi-layer Perceptron Neural Network for Android Malware Detection

International Conference on Ubiquitous Security, 2023
Andri Rai, Eul Gyu Im
semanticscholar   +3 more sources

Underwater targets classification using local wavelet acoustic pattern and Multi-Layer Perceptron neural network optimized by modified Whale Optimization Algorithm

, 2021
Considering heterogeneities and difficulties in the classification of underwater passive targets, this paper proposes the use of Local Wavelet Acoustic Pattern (LWAP) and Multi-Layer Perceptron (MLP) neural networks to design a real-time and accurate ...
Wei-Biao Qiao, Mohammad Khishe, Sajjad Ravakhah   +2 more
semanticscholar   +1 more source

Prediction of diabetes and hypertension using multi-layer perceptron neural networks

International Journal of Modeling, Simulation, and Scientific Computing, 2021
Background: Diabetes and hypertension are two of the commonest diseases in the world. As they unfavorably affect people of different age groups, they have become a cause of concern and must be predicted and diagnosed well in advance. Objective: This research aims to determine the effectiveness of artificial neural networks (ANNs) in predicting ...
Hani Bani-Salameh, Shadi M. Alkhatib, Moawyiah Abdalla, Mo'taz Al-Hami, Ruaa Banat, Hala Zyod, Ahed J. Alkhatib   +6 more
openaire   +2 more sources

An intelligent ensemble classification method based on multi-layer perceptron neural network and evolutionary algorithms for breast cancer diagnosis

Journal of experimental and theoretical artificial intelligence (Print), 2021
Nowadays, breast cancer is one of the leading causes of women’s death in the world. If breast cancer is detected at the initial stages, it can ensure long-term survival. Numerous methods have been proposed for the early prediction of such cancer. However,
Saeed Talatian Azad, Gholamreza Ahmadi, Amin Rezaeipanah   +2 more
semanticscholar   +1 more source

Application of multi-layer perceptron neural networks to vision problems

Neural Computing & Applications, 1998
This paper discusses the application of a class of feed-forward Artificial Neural Networks (ANNs) known as Multi-Layer Perceptrons(MLPs) to two vision problems: recognition and pose estimation of 3D objects from a single 2D perspective view; and handwritten digit recognition.
Alireza Khotanzad, C. Chung
openaire   +1 more source

Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier

Geocarto International, 2020
In this study, we have investigated rainfall induced landslide susceptibility of the Uttarkashi district of India through the developmentof different novel GIS based soft computing approaches namely Bagging-MLPC, Dagging-MLPC, Decorate-MLPC which are a ...
M. Sahana, B. Pham, M. Shukla, R. Costache, Do Xuan Thu, Rabin Chakrabortty, Neelima Satyam, H. Nguyen, P. Tran, Hiep Van Le, S. Pal, G. Areendran, K. Imdad, Indra Prakash   +13 more
semanticscholar   +1 more source

Recursive Assembly of Multi-Layer Perceptron Neural Networks

Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing, 2014
The objective of this paper is to present a methodology to modularly connect Multi-Layer Perceptron (MLP) neural network models describing static port-based physical behavior. The MLP considered in this work are characterized for an standard format with a single hidden layer with sigmoidal activation functions.
Eliot Motato, Clark Radcliffe
openaire   +1 more source

Performance of Multi Layer Perceptron and Deep Neural Networks in Skin Cancer Classification

2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech), 2021
Skin cancer refers to a condition where there exists abnormal growth of skin cells, mostly occurs on skin exposed to the sun. There are several types of skin cancer, where the most common types include basal cell carcinoma, squamous cell carcinoma, and melanoma.
Yessi Jusman, Indah Monisa Firdiantika, Dhimas Arief Dharmawan, Kunnu Purwanto   +3 more
openaire   +2 more sources