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Inspired from the natural neurons, scientists have developed artificial neural network. An artificial neural consists of three components: weighting (W), bias (b), and transfer function (f). These ...
artificial neural networks background

Use of Neural Networks in Automatic Caricature Generation:
This work is the first attempt to use neural networks in this application area and have the potential to revolutionize existing automatic caricature generation technologies. 1 Introduction
artificial neural nets

[DOC File]Introduction to Artificial Neural Networks and Fuzzy Systems
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30% of the data was selected randomly and reserved for testing. Only 70% of the data was used for training. The inputs were scaled to [-5,5] and outputs [0.2, 0.8] by each column. The MLP network has 2 layers and the hidden layer has 8 neurons. The hidden layer uses hyperbolic tangent activation function and output layer uses sigmoidal function.
artificial neural network pdf

[DOC File]NEURAL NETWORKS
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An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems works, such as the brain, process information. The key element of this paradigm is the structure of the information processing system. It is composed of a large number of highly interconnected processing elements ...
what is artificial neural network

[DOC File]Between Support Vector Machines and Artificial Neural ...
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The artificial neural network learning models built are all feed-forward and fully connected. In the topology of the network for this approach, the 16 features are considered as the input units in the input layer. One hidden layer with 32 units, and an output layer that contains six units, which represent the six subtypes are designed to deal ...
usage of neural networks

6.1 Conclusion .ac.id
The advantage of Artificial Neural Network is finding the relation between input parameters and output parameters without generating correlation. It works best in non linier problems. This is the reason ANN programming becomes popular among scientist and researcher. Several uses of Artificial Neural Network are (Jain, Mao, & Mohiuddin, 1996):
ai neural network

[DOC File]The Use of Artificial Neuronal Networks to Generate
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“An artificial neural network (ANN) … is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. An ANN consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation. In most cases an ANN is an ...
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[DOC File]Artificial Neural Network Project
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The proposal is concentrated on the software effort to produce an Artificial Neural Network (ANN) that will replace the conventional contactor control software. As seen in figure 1, the GCU is made up of hardware and software. Hardware provides the inputs in a digital format for software to act upon. The ANN shall take these inputs and provide ...
types of artificial neural networks

[DOC File]ARTIFICIAL NEURAL NETWORK BASED POWER SYSTEM …
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Artificial Neural Network (ANN) is a system loosely modeled on human brain. It tries to obtain a performance similar to that of human’s performance while solving problems. As a computational system it is made up of a large number of simple and highly interconnected processing elements which process information by its dynamic state response to ...
artificial neural networks background

[DOC File]Artificial Neural Networks Technology
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5.0 Network Selection. Because all artificial neural networks are based on the concept of neurons, connections and transfer functions, there is a similarity between the different structures or architectures or neural networks. The majority of the variations stems from the various learning rules and how those rules modify a network's typical ...
artificial neural nets

Artificial neural network uses