Results 151 to 160 of about 9,482,218 (334)

A Model for Programmability and Virtuality in Dynamical Neural Networks [PDF]

, 2009
In this dissertation a fixed-weight architecture for Continuous Time Recurrent Neural Networks (CTRNNs) is proposed in order to give an account for biological phenomena, controlled by neuronal activity, in which changes of behavior occur so fast that ...
Donnarumma, Francesco
core  

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

Una revisión de redes MLP como clasificadores de múltiples clases

Tecnociencia Chihuahua, 2020
Se presenta el estado actual de clasificadores de múltiples clases implementados con redes Multi Layer Perceptron, MLP. Los clasificadores de múltiples clases basados en redes MLP han sido utilizados en muchos casos con éxito.
Ricardo Majalca-Martínez, Pedro Rafael Acosta-Cano de los Ríos   +1 more
doaj  

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source

Pengenalan Plat Kendaraan di Indonesia Menggunakan Multi Layer Perceptron Neural Network dan Connected Component Labeling [PDF]

, 2014
Dalam beberapa tahun terakhir, jumlah kendaraan yang beredar di Indonesia mengalami peningkatan yang cukup drastis.Banyaknya jumlah kendaraan tersebut tentunya akan menyulitkan para penegak hukum dalam mengenali dan melacak kendaraan yang melakukan ...
Andre Sitompul
core  

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Adaptive near minimum error rate training for neural networks with application to multiuser detection in CDMA communication systems

, 2005
Adaptive training of neural networks is typically done using some stochastic gradient algorithm that tries to minimize the mean square error (MSE). For many applications, such as channel equalization and code-division multiple-access (CDMA) multiuser ...
Hanzo, L., Chen, S., Samingan, A.K.
core   +1 more source

Prosumers and Sustainable Market Governance: Development of the Community‐Oriented Marketing Approach Scale

Business Strategy and the Environment, EarlyView.
ABSTRACT This research develops and empirically validates the Community‐Oriented Marketing Approach (COMA), a 20‐item multidimensional scale designed to measure prosumer perceptions within participatory market systems. COMA conceptualizes prosumers as active co‐value creators and institutional agents, driving sustainable market governance.
Alpaslan Kelleci, Oguzhan Essiz
wiley   +1 more source

Fault Tolerant Multi-Layer Perceptron Networks

, 1992
This report examines the fault tolerance of multi-layer perceptron networks. First, the operation of a single perceptron unit is analysed, and it is found that they are highly fault tolerant.
James Austin, George Bolt, Gary Morgan
core  

The hardware implementation of an artificial neural network using stochastic pulse rate encoding principles [PDF]

, 1995
In this thesis the development of a hardware artificial neuron device and artificial neural network using stochastic pulse rate encoding principles is considered.
Glover, John Sigsworth
core