neural network造句
(1) The neural network picture is still building.
(2) Hitachi has developed a wafer-scale neural network.
(3) Some neural network implementations require this special-purpose hardware.
(4) In order for the neural network software to recognize the input data, we must enter each image or number serially.
(5) The neural network collects its data incrementally, every five minutes.
(6) The neural network cycles through the data and attempts to find the appropriate matching vector.
(8) Neural network efforts pay more attention to how the brain functions.
(9) This took as long as running the neural network, just over two hours.
(10) The structure of a neural network allows it to be good at particular kinds of learning.
(11) Personally, we would not consider delivering a neural network unless it was embedded in an expert system.
(12) Having never dealt with a statistical neural network, we were uncertain how we could verify the integrity of the network.
(13) In addition to simulations, analog neural network circuits have been built and tested.
(14) It is considered complete when the neural network produces the required outputs for a given sequence of inputs.
(15) Our goal is to develop a neural network that can recognize the numerals 0 through 9.
(16) Kohonen networks have capabilities unmatched by other neural network models.
(17) Such an algorithm can provide an alternative learning mechanism in a neural network.
(18) The following tables illustrate this important difference between the current inspection method and the neural network approach.
(19) Consequently, there is no need for the immense resources needed by other neural network systems in calculating thousands of weights.
(20) If you use a modem, you are using a small neural network.
(21) Tables 8. 1 through 8. 4 present the most generally used and best known neural network paradigms.
(22) The past couple of years have witnessed an explosion in the number of neural network articles appearing in computer magazines.
(23) Keep in mind that there are many different types of neural network architectures.
(24) Netbuilder will, according to the company, allow developers to build information analysis systems using multiple neural network and statistical analysis modules.
(25) Research Areas Learning constitutes one of the key features of a neural network.
(26) Figure 9. 18 illustrates our methodology for developing a neural network.
(27) Although digital computers have to simulate this parallelism, true neural network hardware will really perform the operations in parallel.
(28) The proposed system will integrate conventional computing, expert systems, and neural network methods.
(29) Off-line training time, then, becomes one of the most important elements in initially selling neural network technology.
(30) Then there were software specialists: programmers, systems engineers, knowledge engineers, and now, neural network architects.
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