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(31) The neural network takes each pixel, does calculations, and enters information on a graph.

(32) You would not want to use an artificial neural network, for example, to keep your finances.

(33) The number of interconnects in a neural network is directly proportional to the complexity of the model that can be implemented.

(34) Another key issue is the choosing of appropriate neural network architecture and paradigms to match applications.

(35) The addition of neural network methods came about because of several problems.

(36) Improving Computational Models A significant portion of neural network research centers on the improvement of computational models.

(37) Learning is the process by which a neural network modifies its weights in response to external input.

(38) If a neural network system is good at recall functions only,[www.Sentencedict.com] then it is necessary to impose constraints and limitations.

(39) The first step each time is to decide how to represent your information for presentation to the neural network.

(40) Pairs of inputs and outputs are applied to the neural network.

(41) However, this application will illustrate in detail other techniques you can adopt in developing an application-specific neural network.

(42) Existing Applications Most of the applications currently on the neural network scene are prototypes or research projects.

(43) Next we prepare the data for presentation to the neural network software development program.

(44) We know from reading the literature that there are many ways to implement a neural network.

(45) Embedded Neural Networks A neural network embedded in an expert system has many advantages.

(46) Two general categories are used in describing neural network organization.

(47) Many neural network paradigms have evolved over the past decade.

(48) One solution is to embed your neural network in an expert system.

(49) John Godfrey Saxe Several characteristics of neural network technology set it apart from conventional computing and artificial intelligence approaches.

(50) Neuroscience Network Projects: Scientists are increasingly turning to chemistry and biology to create new designs for neural network computer systems.

(51) Terminology Several descriptors are typically used in evaluating neural network implementations.

(52) Into this milieu comes now the neural network approach to artificial intelligence, where learning is built into every system.

(53) Managers found themselves wondering whether a conventional approach could replace the neural network.

(54) Storing Knowledge Knowledge within a neural network is not stored in specific memory locations, as it is in conventional computing.

(55) Introduces the accumulated error algorithm of forward neural network.

(56) A path delay fault testing generation algorithm for digital circuits based on neural network is proposed because the testing generation for path delay fault in digital circuits is more difficult.

(57) A cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification .

(58) Based on it, the dangerous degree measure (dangerous believe degree) was put forward, applied the trained neural network to a few outburst mines engineering verification of Huainan diggings.

(59) An application of cellular neural network ( CNN ) in mathematical morphology is presented.

(60) Objective To study the artificial neural network in the diagnosis of the smear negative pulmonary tuberculosis.