In view of the high professionalism and complexity of medicine patent text, traditional patent retrieval mainly relies on manual operation and simple text Processing methods, this paper aims to use Natural Language Pr...
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Traditional end-to-end mobile communication must go through wireless access networks, core networks, platforms, and application layers, which ultimately leads to longer end-to-end delays and cannot meet the performanc...
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In view of the high professionalism and complexity of medicine patent text, traditional patent retrieval mainly relies on manual operation and simple text Processing methods, this paper aims to use Natural Language Pr...
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ISBN:
(数字)9798350352719
ISBN:
(纸本)9798350352726
In view of the high professionalism and complexity of medicine patent text, traditional patent retrieval mainly relies on manual operation and simple text Processing methods, this paper aims to use Natural Language Processing (NLP) technology to efficiently obtain valuable information in medicine patent retrieval. To transform unstructured text into meaningful information. Through in-depth research on the characteristics and structure of medicine patent text, a new structured feature extraction algorithm of patent text is proposed, and a patent retrieval system based on NLP is developed, which can carry out instant structured processing, and can automatically identify and translate text into corresponding patented medicines, and nearly 300 medicine patent abstracts are tested by experiment. The system performance is good. The system achieves the expected effect.
The traditional face recognition technology is more complicated for the extraction of facial image features and the selection of classifiers, and the recognition rate is not high. With the continuous maturity of the c...
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Small-scale evolution antennas have the advantages of high gain, wide bandwidth and small size, and have broad application prospects in the aerospace field. Aiming at the complex high-dimensional and dynamic problems ...
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The traditional face recognition technology is more complicated for the extraction of facial image features and the selection of classifiers, and the recognition rate is not high. With the continuous maturity of the c...
The traditional face recognition technology is more complicated for the extraction of facial image features and the selection of classifiers, and the recognition rate is not high. With the continuous maturity of the convolutional neural network from handwritten digit recognition to face recognition, A face recognition algorithm that tests CNN using the Python+Keras framework. The method mainly involves two aspects. One is to observe the influence on the network by changing the number of neurons in the hidden layer; the other is to observe the influence on the network by changing the number of feature maps of the convolutional layer 1 and the convolutional layer 2. The best CNN model is 36-76-1024 through multiple sets of experimental tests. The model can automatically extract facial image features and classify them. Using adam optimizer and softmax classifier for face recognition can make training faster convergence and more. Effectively improve accuracy and use the Dropout method to avoid overfitting. The experimental results show that the recognition rate of the CNN model on the olivettifaces face database is 97.5%. When the optimal CNN model is used, the average recognition rate is close to 100%, which verifies the validity and accuracy of the algorithm and model.
Small-scale evolution antennas have the advantages of high gain, wide bandwidth and small size, and have broad application prospects in the aerospace field. Aiming at the complex high-dimensional and dynamic problems ...
Small-scale evolution antennas have the advantages of high gain, wide bandwidth and small size, and have broad application prospects in the aerospace field. Aiming at the complex high-dimensional and dynamic problems of aerial antenna modeling, a dynamic hill-climbing algorithm based on orthogonal design is designed and implemented to simulate and optimize the single-span antenna in high-frequency operation mode. In the optimization problem, this paper defines a new individual comparison mechanism, which can reflect the number of violations of constraints and the degree of violation of each constraint, making the comparison of individuals more reasonable. The antenna simulation results demonstrate the effectiveness and feasibility of using dynamic evolutionary algorithms for antenna design.
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