| ชื่อเรื่อง | : | Protein secondary sturcture prediction using artifical neural networks and support vectors machines. |
| นักวิจัย | : | Jin, Guosheng. |
| คำค้น | : | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems. , DRNTU::Engineering::Computer science and engineering::Computing methodologies. |
| หน่วยงาน | : | Nanyang Technological University, Singapore |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2548 |
| อ้างอิง | : | Jin, G. (2005). Protein secondary sturcture prediction using artifical neural networks and support vectors machines. Master’s thesis, Nanyang Technological University, Singapore. , http://hdl.handle.net/10356/4454 |
| ที่มา | : | - |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | - |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | In this thesis, a novel Hybrid Neural Networks Predictor (HNNP) system for the Protein Secondary Structure Prediction (PSSP) problem is described. By explor- ing such a new hybrid system, the intention is to investigate the feasibility of the HNNP in PSSP and even achieve improvements over existing methods. The proposed system is a cascaded network of the Radial Basis Function Neural Net- work (RBFNN) and the Multi-Layer Perceptron Neural Network (MLPNN). |
| บรรณานุกรม | : |
Jin, Guosheng. . (2548). Protein secondary sturcture prediction using artifical neural networks and support vectors machines..
กรุงเทพมหานคร : Nanyang Technological University, Singapore. Jin, Guosheng. . 2548. "Protein secondary sturcture prediction using artifical neural networks and support vectors machines.".
กรุงเทพมหานคร : Nanyang Technological University, Singapore. Jin, Guosheng. . "Protein secondary sturcture prediction using artifical neural networks and support vectors machines.."
กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2548. Print. Jin, Guosheng. . Protein secondary sturcture prediction using artifical neural networks and support vectors machines.. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2548.
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