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Neural networks: Here, there, and everywhere--an examination of available intellectual property protection for neural networks in Europe and the United States
The George Washington Journal of International Law and Economics; 1/1/1996; Dana S Rao; 7986 words
; ... Introduction The development of neural networks, engineering constructs that ... expanded rapidly in recent years.2 A neural network's structure allows it to "learn ... scope of its initial training.4 Neural networks differ from other forms of "artificial ...
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Neural-network modeling: neural-network modeling tools enable the engineer to study and analyze the complex interactions between material and process inputs with the goal of predicting final component properties.
Advanced Materials & Processes; 11/1/2005; Furrer, David Thaler, Stephen; 3110 words
; Neural-network models are mathematical tools designed ... measured output values. Quite a variety of neural network models have been designed to fit a range ... application. [FIGURE 1 OMITTED] In particular, neural-network models have multiplied for manufacturing ...
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Neural networks to model dynamic systems with time delays.(Statistical Data Included)
IIE Transactions; 3/1/2002; Ramirez-Beltran, Nazario D. Montes, Jaime A.; 9357 words
; ... technique is combined with neural networks to detect the reaction delay ... change with a two-by-two tran sition matrix and the tracking ... time delays. They used a neural network approach to model and control ... also introduces a method for neural network design, this ...
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Neural networks in ocean engineering
Ships and Offshore Structures; 1/1/2006; Jain, P; Deo, M C; 5915 words
; ... The soft computing technique of neural network is being extensively used across ... It is found that, in general, neural networks provide a better alternative ... The relative advantages of the neural network schemes proposed by various investigators ...
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Neural-network IC architectures define suitable applications. (integrated circuits)
EDN; 7/4/1991; Wright, Maury; 2082 words
; ... MD1220 actually simulates a neural network, albeit with a parallel architecture ... continuous training simply. The Neural Semiconductor NUSU32 falls ... IC directly implements a neural network because there is a local ... difficult in the case of neural-network ICs. You can't ...
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Three-step method evaluates neural networks for your application. (includes related article on seven design steps for back-propagation neural networks) (Tutorial)
EDN; 8/6/1992; Lawrence, Jeannette Andriola, Peter; 4102 words
; ... available data may lead you to formulating a neural-network implementation. If the problem type fits and the data is sufficient, a neural network can do the thinking for you. Neural networks are the core of many well-known applications ...
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A neural network - could it work for you?
Financial Executive; 5/1/1990; Smith, J. Clarke; 2310 words
; A neural network--could it work for you? The cream of ... artificial-intelligence crop today is the neural network--systems that learn from their experiences ... living, breathing human being. Called neural networks, such artificial intelligence systems ...
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Artificial neural network application to business performance with economic value added.(Manuscripts)
Academy of Information and Management Sciences Journal; 1/1/2003; Lee, Chang W.; 3315 words
; ... single-layer or multi-layers networks is interpreted as an adaptive ... improved capability of the neural network model to generalize. Some ... with associative memory neural networks with the development of self-organizing feature maps that use a topology for ... optimal solution as the ...
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Evaluation of an Artificial Neural Network to Predict Urea Nitrogen Appearance for Critically Ill Multiple-Trauma Patients
JPEN, Journal of Parenteral and Enteral Nutrition; 11/1/2005; Dickerson, Roland N; Mason, Darius L; Croce, Martin A; Minard, Gayle; Brown, Rex O; 4087 words
; ... Computer-based simulated biologic neural network models have made significant strides ... regression model and an artificial neural network for estimating urea nitrogen appearance ... back-propagation, supervised neural network. Bias and precision of both methods ...
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CONSTRUCTIVE GRADIENT NEURAL NETWORK
Neural Network World; 1/1/2005; Ondrácek, Tomás; 3666 words
; ... learning phase it defines the neural network topology (the number of neurons ... near to the desired final network state. In the second learning ... algorithm to refine all the network weights. The proposal of ... Geometric representation of the neural network The often-used functional ...
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